WO2002052787A2 - Message splitting and spatially diversified message routing for increasing transmission assurance and data security over distributed networks - Google Patents

Message splitting and spatially diversified message routing for increasing transmission assurance and data security over distributed networks Download PDF

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Publication number
WO2002052787A2
WO2002052787A2 PCT/US2001/050059 US0150059W WO02052787A2 WO 2002052787 A2 WO2002052787 A2 WO 2002052787A2 US 0150059 W US0150059 W US 0150059W WO 02052787 A2 WO02052787 A2 WO 02052787A2
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Prior art keywords
message
file
message segments
segments
encoding
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PCT/US2001/050059
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French (fr)
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WO2002052787A3 (en
Inventor
Li Shu
Dorothy C. Poppe
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The Charles Stark Draper Laboratory, Inc.
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Priority to AU2002241697A priority Critical patent/AU2002241697A1/en
Publication of WO2002052787A2 publication Critical patent/WO2002052787A2/en
Publication of WO2002052787A3 publication Critical patent/WO2002052787A3/en

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    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
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    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
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    • H04ELECTRIC COMMUNICATION TECHNIQUE
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    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/04Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
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    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
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    • HELECTRICITY
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    • H04L1/004Arrangements for detecting or preventing errors in the information received by using forward error control
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    • H04L69/32Architecture of open systems interconnection [OSI] 7-layer type protocol stacks, e.g. the interfaces between the data link level and the physical level
    • H04L69/322Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions
    • H04L69/329Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions in the application layer [OSI layer 7]
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Definitions

  • the invention generally relates to electronic communications, and, more particularly, to data assurance and security in a network-based communications environment.
  • MANET Mobile ad-hoc networking
  • Each unit, or node, in such a network may initiate or receive communications, or forward a communication, which may be, for example, a packet of information, between two other units in the network. Since the units may be mobile, a functioning MANET must accommodate variations in the communication pathway between any two units.
  • CB radio citizens band radios
  • Such radios have a broadcast range limited to approximately 15 miles.
  • Three or more mobile units located, for example, in trucks or automobiles, can participate in the exchange of communications between two units when the two units are too distant from each other for direct radio contact.
  • those individuals controlling the additional units may relay communications between the two units which are outside of each others' direct radio contact; and the packets of information might include a message and the identity of the intended recipient of the message.
  • the neighboring nodes with which a node can communicate directly may change over time.
  • the aggregate variation of all nodes' immediate neighborhood is sometimes called the variation in the network configuration. Such variations may cause the communication pathway between two particular units through the network to also vary with time.
  • Such a communication pathway that is, the series of units involved in forwarding a communication, may change rapidly. Further, the quality of radio transmissions between any two adjacent units on such a communications pathway can degrade over time because of variations in, for example, the radio propagation environment and the mobility. These changes may occur during the transmission of a single packet of information.
  • channel encoding methods are used to assure data delivery under the majority of channel conditions.
  • mechanisms are designed into the protocol to allow for retransmission of the messages.
  • the rarity of severe channel conditions is controlled by the choice of the channel encoding mechanism in the design.
  • a retransmission mechanism may also respond to network congestion - which can be modeled - from the perspective of the two nodes at the two ends of a routing pathway, as channel conditions become sufficiently severe .
  • the two-pronged approach is designed because traditional channel encoding techniques can be used to improve data assurance in communications, at a cost in both system complexity and bandwidth overhead.
  • increasing data assurance by choosing more protective channel encoding techniques to accommodate occasionally severe network conditions can incur costs that compare unfavorably to simply retransmitting data because the occurrences of such severe channel conditions may be sufficiently rare.
  • Optimal utilization of a fixed-link network is typically achieved by balancing use of channel encoding techniques and retransmission.
  • the characteristics of each link in a MANET are subject to variations in, e.g., the radio channels.
  • the radio signal is subjected to signal strength variation and the Doppler effect caused by the relative mobility of either the transmitting node, the receiving node, or other structures acting as reflectors or obstructions in between. Additionally, the radio signal can be reflected from structures and vehicles and cause multi-path destructive interference, and can be blocked by structures and vehicles. These factors cause the link characteristics to vary more dramatically and over a much larger range than those in traditional fixed link networks. In general, these variations are no longer statistically stationary.
  • the two-pronged approach of encoding and retransmission can be applied to MANETs. Though sub-optimal, this approach can support communications when variations in link characteristics are sufficiently slow and/or small.
  • Retransmission is inherently inefficient because it is costly in bandwidth usage and delivery delay. These costs are compounded in a MANET by the potential competition for link usage by multiple nodes in one node's immediate neighborhood. Such competition can be significantly more costly in MANET usage than in conventional network usage because the nodes competing for the same channel may not be aware of each other's existence (the so- called hidden terminal problem) . This may result in excessive retransmission, which can degrade network performance more severely in MANETs than in conventional networks.
  • the invention generally involves reliable and secure data transmission over a network.
  • the invention is particularly suited to wireless ad hoc networks composed of mobile nodes, which has time-varying communication links between the nodes.
  • Message assurance is accomplished in part by splitting a message into message segments that provide a suitable amount of redundancy (which can vary over time) for the message. Each such message segment is forwarded towards the destination node along, potentially, a different path.
  • a receiver need only receive a fraction of the transmitted message segments to enable reconstruction of the original message.
  • the invention provides security gains that require little increase in system complexity or computational burden.
  • the fraction of segments required for message reconstruction can be dynamically adjusted to accommodate variations in the present condition of the network. Specifically, depending on the aggregate characteristics of the collection of network paths at a particular time, a selection protocol can dynamically select the most appropriate algorithms for processing a message into message segments. This is possible because sudden variations in the characteristics of an individual link may not significantly impact the aggregate characteristic of the collection of the paths. As the number of paths in the collection increases, the aggregate characteristics of the collection stabilize. Hence, tracking is possible.
  • bandwidth utilization is optimized.
  • the degree of redundancy in data transmission is reduced as network conditions improve, and increased as network conditions degrade.
  • the invention eliminates any requirement to resend an entire message due to network transmission failures. As required, the amount of redundancy can be increased with a corresponding reduction in the fraction of message segments required for reconstruction of the message.
  • the invention provides reliable and secure transmission of messages in a MANET.
  • a network is made up of mobile communication devices that are all peers. That is, no one device mediates communications for the network. Data assurance can be improved to arbitrary levels by choosing encoding and splitting schemes to tolerate a required level of segment transmission failures.
  • the invention can reduce message delay and increase utilization of each communication link in virtually any network, whether the nodes are mobile or fixed.
  • the improvement in system resource utilization and performance can grow with the number of nodes and links in the network.
  • the invention also provides improvement of data security.
  • Message segments are forwarded along different paths, and because multiple message segments are required to reconstruct the original message, an eavesdropper intercepting packets on a particular path can generally obtain little useful information.
  • an eavesdropper must simultaneously intercept multiple message segments before a successful recovery of the original message becomes possible.
  • the mobility of the nodes in the network makes this difficult.
  • the number of message segments can be increased to further increase the difficulty of message interception.
  • the invention features an apparatus for transmitting a file via a communications network.
  • the apparatus includes a file processor that converts a file into N message segments.
  • the file can be reassembled from a subset of any M of the message segments, where N and M are positive integers, N is greater than M, and M is greater than or equal to 1.
  • the file can be, for example, a computer data file, such as a binary data file.
  • the processor can be, for example, a computer microprocessor integrated circuit.
  • the apparatus further includes a message segment transmitter.
  • the transmitter transmits at least M of the N message segments to a receiver, which may reassemble the file after receiving M of the N message segments.
  • the transmitter may be an integrated circuit that transmits the message segments. via a network, such as an optical, electrical or wireless network.
  • the file processor may include a file encoder and an encoded file splitter that convert the file into the N message segments.
  • the file encoder may implement a class of encoding algorithms in generating the message segments.
  • the encoded file splitter may implement a class of splitting algorithms in generating the message segments.
  • the file processor and the file encoder may be implemented in software, firmware or hardware (e.g. as an application- specific integrated circuit) .
  • the software may be designed to run on general-purpose equipment or specialized processors dedicated to the functionality herein described.
  • the file processor and the file encoder may each be, for example, one or more integrated circuits.
  • a single integrated circuit may include the file processor and the file encoder.
  • One or more integrated circuits may implement file processing and file encoding software.
  • the file processor may include a network monitor that determines the condition of the communications network.
  • the condition of the network may include many factors, and the network monitor may determine one or more of the factors.
  • the condition may include information regarding the signal strength between nodes, which pairs of nodes are able to exchange communications, node movement, etc.
  • a message segment parameter selector may select a set of values for M.
  • the parameter selector may select a ration for M/N.
  • the parameters may be chosen to obtain a preselected probability of a successful transmission of M of the N transmitted message segments. For example, when the quality of the communication links degrades, the selected value for M/N may be decreased to provide more redundancy.
  • the file processor may associate, either explicitly or implicitly through methods such as embedding, N message segment identifiers with the N message segments, a one-to-one association existing between the N message segment identifiers and the N message segments.
  • Each message segment identifier may be transmitted with its associated message segment.
  • the identifiers may be, for example, alphanumeric labels. They may be used to identify message segments and assist reassembly of the message from the message segments.
  • the invention features a method for transmitting a file.
  • the method includes converting the file into N message segments that enable reassembly of the file from a subset of any M of the message segments.
  • N and M are positive integers, N is greater than M, and M is greater than or equal to 1.
  • the method further includes transmitting at least M of the N message segments to a receiver. The receiver reassembles the file after receiving at least M of the N message segments.
  • Transmitting may be accomplished by transmitting message segments via multiple pathways of a communications network.
  • the network may be a wireless, electrical or optical network.
  • the network may be an ad hoc network.
  • the network may have mobile nodes.
  • the network may include a geographically distributed collection of radio transceivers.
  • Converting the file may include protecting the N message segments with a data security algorithm, or an algorithm that simultaneously provides data security and redundancy for this transmission scheme. Converting the file may include encoding the file and splitting the encoded file into the N message segments .
  • the encoding may include selecting one of a class of encoding algorithms by use of a selection protocol, and encoding the file in accordance with the selected encoding algorithm.
  • Splitting the encoded file may include selecting one of a class of splitting algorithms by use of the selection protocol, and splitting the encoded file in accordance with the selected splitting algorithm. Transmitting may include identifying the selected encoding algorithms for a receiver of the file through either explicit or implicit means. Encoding may further include selecting one of a class of encoding algorithms that provide for the recovery of the original data in the absence of some of the message segments .
  • An encoding algorithm may inject redundancy into the message segments, e.g., via use of erasure correcting codes, to enable reassembly of the original message without requiring the successful delivery of all message segments through their individual paths.
  • the method may also include receiving at least M of the N message segments and reassembling the file from as few as M of the N message segments. Reassembling the file may further include combining M of the N message segments and recovering the original message from the assembled message segments.
  • Converting the file may include associating the received message segments according to their unique identifiers.
  • converting the file includes analyzing the communications network to determine a condition of the communications network. Values for the parameters M and N are selected based on the determined condition to achieve a preselected probability of a successful transmission of M of the transmitted message segments.
  • FIG. 1 illustrates an embodiment of a communication of a message from a source to a destination.
  • FIG. 2 illustrates an embodiment of a communication of a message that provides improved message security.
  • FIG. 3 illustrates an embodiment of a method that provides message delivery assurance and security.
  • FIG. 4 illustrates an embodiment of spatial diversification of message transmission, which transmits split message segments along three paths through a network.
  • FIG. 5 illustrates an embodiment of reassembly of a message at a destination.
  • FIG. 6 illustrates an embodiment where obstruction of a single node does not deny message transmission.
  • FIG. 7 illustrates an embodiment where eavesdropping on a single link provides no information.
  • FIG. 8 illustrates an embodiment with integration of data encryption into an encoder and a decoder.
  • FIG. 9 illustrates an embodiment with integration of data encryption into the splitter and the assembler.
  • FIG. 10 illustrates an embodiment of an apparatus for transmitting a file via a communications network.
  • file means for transfer between two distinct physical locations via, in particular, electronic, wireless and optically based communications, for example, network-based communications.
  • An apparatus and method for data assurance in communication networks makes advantageous use of features of networked communications.
  • messages can be forwarded along multiple, variable data paths. Aggregation of a number of such paths forms a single "super path.”
  • a method includes encoding a message, splitting the encoded result into distinct message segments, and sending each segment along a different path.
  • a receiving node may reconstruct the original message without the requirement that all message segments eventually reach the receiving node after traveling along their individual paths.
  • One embodiment includes a protocol that enables a sender to provide information to a destination, i.e., receiver node, about encoding and splitting algorithms that were used to process a message. Some embodiments include methods for inferring the status of the collection of links. Some embodiments include one or more algorithms for determining which combination of encoding and splitting algorithms to use in response to a current status of the links.
  • some embodiments enable dynamic adjustment in response to changing network communication conditions.
  • One such embodiment includes a set of encoding/decoding algorithms and a set of splitting/reassembling algorithms to permit an optimized response to the dynamic variations in the link characteristics.
  • Modified algorithms can incorporate data security enhancement features .
  • encoding algorithms may be used to prevent the deduction of any part of the original message from individual processed message segments. A minimum number of message segments may be required to reconstruct the original message.
  • encryption keys may be used to enhance security.
  • security enhancement can be achieved by deterministically varying a set of splitting/reassembling algorithms. Data assurance in MANETs can be adjusted to a desired level by choosing an appropriate encoding and splitting scheme to tolerate failures over a sufficiently large number of paths.
  • Encoding redundancy can reduce or eliminate the need for message retransmission. Message delay may be reduced, and utilization of each link in the network may be increased. Generally, the benefit in overall network resource utilization and performance grows with the number of links, i.e., the number of directly communicating node-pair combinations, and the expected number of relaying hops through which a packet is forwarded towards its destination.
  • the apparatus and method improve data security.
  • an eavesdropper sniffing e.g., packets traveling on a particular path cannot deduce much useful information.
  • Additional security components or steps can improve the level of data security; for example, encoding mechanisms can be chosen to avoid exposing the original data bits directly and a bit-position scrambling mechanism can be incorporated before splitting of the message. This provides security gains that require almost no increase in system complexity or computational burden.
  • a redundantly encoded message is transmitted by aggregating multiple paths in a MANET to form a single super-path.
  • This aggregation provides robustness in view of the potentially drastic variation in individual links.
  • the super-path has a collective characteristic that improves stability, and statistically resembles a fixed link pathway in comparison to a pathway through a conventional MANET.
  • the channel coding technique may first encode the message to inject the desired level of redundancy into the message, then split the encoded message into multiple segments, and then forward each segment along a different path.
  • the extra redundancy injected by the encoding method via, e.g., erasure correcting codes) may permit reassembly of the original message without requiring the successful delivery of all message segments through their individual paths.
  • Encoding methods may be used to improve the data assurance to a desired level for a MANET. This is more effective for MANET-based communications than simply adopting or adapting the two-pronged approach of fixed point-to-point channels (and conventional networks) .
  • the characteristics of the aggregated super-path more closely resemble that of the fixed point-to-point channel than that of the individual member paths in the aggregate.
  • the variation in the characteristics of the super-path is slower than the variation of individual member paths, and can be designed to become tractable.
  • super-path characteristics are regularly or continuously analyzed, and encoding and splitting algorithms are selected from classes of encoding algorithms and splitting algorithms in response to a determined characteristic.
  • Super- path characteristics may include, for example, the number of successfully received message segments and the identity of the paths through which message segments are successfully received. The performance of these classes of algorithms can be rated. Protocols that implement measurement of super-path characteristics and dynamic selection of an optimum combination of encoding algorithms and splitting algorithms can also be rated. Rating of algorithms and protocols can permit improved optimization of selections.
  • Encoding and splitting of messages directly improves message security. Because the message segments are forwarded along distinct routes to the destination, an eavesdropper must simultaneously intercept multiple message segments before a successful recovery of the original message becomes possible. The mobility and the geographical distribution of the nodes in the network make this difficult, and splitting the message into more segments can increase the difficulty of recovery. Furthermore, an encoding algorithm can be chosen that prevents message reconstruction without interception of at least a threshold portion of message segments.
  • scrambling and de- scrambling of bit positions requires many fewer operations to execute and complete than traditional encryption and decryption methods.
  • Some embodiments include a stand-alone protocol layer for insertion in the networking protocol layer.
  • the protocol layer can be inserted between the medium access control (MAC) layer and the networking layer of a communication system.
  • the protocol layer may include mechanisms for monitoring or analyzing the characteristics of network links and a decision algorithm to dynamically choose one of a class of encoding and splitting algorithms based on the observed network link characteristics .
  • the protocol layer when the link stability is low, switches to an encoding algorithm that tolerates more losses of the message segments and a message-splitting scheme that results in smaller segments, in an attempt to improve delivery assurance. In another embodiment, when the link stability improves, the protocol layer switches to an encoding algorithm that has requires more message segments to be received and a message-splitting scheme that uses larger segments, in an attempt to reduce the protocol overhead.
  • the impact of the proposed algorithm and the dynamic protocol can be measured at multiple levels of the network.
  • the probability of delivery success in a single attempt can be improved to any desired level by choosing an appropriate combination of encoding and splitting methods or algorithms.
  • an entire message is not transmitted along a single path. Instead, a message is fragmented, i.e. split, and forwarded along multiple paths.
  • the realized increase in data assurance general comes with an initial delay in transmission of message segments, or packets, due to the encoding and splitting.
  • overall communications delays are improved because of the improved probability of completion of each message transmission in the first attempt. Referring to Figure 1, an embodiment of a communication of a message from a source to a destination is illustrated.
  • the encoder 2 injects redundancy into the message bit stream, which increases the number of bits in the message.
  • the encoded message is fed to a message splitter 4, which breaks the message into N message segments.
  • the N message segments are forwarded to the destination along different paths in a MANET 3.
  • An assembler 6 reassembles the encoded message as the segments are received. When the number of segments received reaches a specified threshold, a partially reassembled message is passed to a decoder 8, e.g. an erasure decoder.
  • the decoder recovers the original message 1, using only the bits available from the partially assembled message.
  • the threshold number of segments is determined by the selected coding scheme.
  • Both the assembler 6 and the erasure decoder 8 may be implemented in hardware and/or as software modules .
  • Improving the probability of completed delivery of a message in a first attempt reduces both the average delay and the number of retransmissions required for deliver of messages through the network. Reducing the number of retransmissions decreases the number of channel contentions in a network with multi-accessing nodes such as a MANET. This may significantly improve the utilization of both the links and the network, in terms of factors such as the number of data bits sent per usage of bandwidth, channel, link, battery power, etc. This in turn significantly improves the overall network throughput and efficiency.
  • FIG. 2 illustrates an embodiment that provides improved message security.
  • a sender 10 and a receiver 20 agree to use a combination of an encoding scheme and a splitting mechanism that splits each message into three segments for transmission via a MANET 23.
  • the MANET 23 includes several nodes a-g.
  • the encoding scheme requires at least two message segments to reach the receiver for recovery of a split message.
  • An eavesdropper is illustrated as intercepting message segments between nodes c and e; a jammer is illustrated as blocking transmission of message segments at node f.
  • Three paths Pi, P 2 , P 3 through the MANET 23 are a subset of all possible paths. Message security and integrity are maintained in spite of the efforts of the eavesdropper and the jammer.
  • the eavesdropper acquires only a message segment transmitted along path P 3 . Because the number of message segments threshold is 2, the single segment does not provide any useful information to the eavesdropper. All three segments will reach the receiver 20. The first two to arrive are used to reassemble the original message . The jammer attacking node f prevents the message segment traveling on path P 3 from reaching the receiver 20. The other two message segments, however, arrive, and the message is recovered. The jammer cannot prevent the receiver 20 from getting the message.
  • Several criteria may be used to assess the performance of alternative implementations of a decision algorithm and a dynamic protocol. Such criteria may include, for example:
  • a protocol is inserted into a network communications protocol stack, e.g., between the MAC and the networking layer. This protocol mechanism senses and predicts - 22 -
  • error-correcting codes examples include Bose-Chaudhuri-Hocquenghem (BCH) codes, Convolutional codes, Hamming codes, Reed-Solomon codes, Golay codes, Turbo codes, and several other linear and nonlinear block codes .
  • BCH Bose-Chaudhuri-Hocquenghem
  • Various embodiments provide significant security benefits.
  • resistance to localized jamming is one benefit.
  • Jamming for example, disrupting transmission at a single network node or link, minimally impacts the functionality of the rest of the network.
  • path Pi and path P 2 are still able to deliver message segments, and the message is successfully decoded.
  • a jammer must be located close enough to either the sender 10 or receiver 20 to jam a significant number of message segments. For example, the probability of disruption in a mobile, military network is reduced by the requirement for close proximity of a hostile jammer.
  • an eavesdropper is physically located between node c and node e, able to copy any message segment, e.g., data packet, that passes along path P 3 .
  • the eavesdropper must correctly receive a minimum of [k/b] message segments to recover a complete message. To receive the minimum number of segments, however, requires eavesdropping on other paths P 1# P 2 .
  • Some embodiments prevent even partial message recovery by the eavesdropper.
  • An appropriately chosen scrambling encoder e.g., a non-systematic code
  • the eavesdropper must be physically located very close to either the sender 10 or the intended recipient 20 to effectively intercept segments from multiple paths Pi, P 2 , P 3 .
  • the effectiveness of a local jammer is reduced by taking advantage of the nature of a distributed networking environment .
  • a single eavesdropper has a reduced ability to observe enough segments to allow an understanding of the communications carried by the network.
  • the overall security of information carried by the entire network is significantly improved.
  • Some embodiments further improve security through use of data encryption by means of bit position scrambling.
  • the selection of a scrambling encoder can be controlled with an encryption key.
  • the actual bit scrambling can be accomplished in either an encoder or a splitter.
  • Figure 8 schematically shows the use of permutation by an encoder 2a.
  • Figure 9 shows the use of permutation by a splitter 4a. For example, even a simple use of an encryption key to alter bit positions in the encoded message, would require the eavesdropper to potentially search through n! possibilities.
  • the encoding scheme provides strong resilience against loss of message segments, preferably having the value of (k + e) as - 24 - close to n as possible, where e is the number of message segment losses that the scheme can overcome, k is the original message length, and n is the encoded message length; and
  • a segment carries identification that is a number assigned by the message splitter. This number may be a field in a protocol header that is attached to each message segment, or embedded in the message segment itself.
  • Additional protocol header fields may be included when encoding and splitting algorithms are altered dynamically to better suit the observed characteristic variations of the super- path.
  • the additional fields can carry measurement data regarding the characteristics of the super-path as well as data that informs the destination node of the changes in the encoding and splitting algorithms. Inclusion of additional protocol header fields incurs additional transmission bandwidth for every hop.
  • the apparatus 30 includes a file processor 31, which may be implemented in hardware and/or as a software module, and a - 25 - message segment transmitter 32.
  • the file processor converts files into N message segments that enable reassembly of the file from a subset of any M of the message segments.
  • N and M are positive integers and N > M ⁇ 1.
  • the message segment transmitter 32 which may be implemented in hardware and/or as a software module, transmits message segments to a receiver.
  • the receiver can reassemble a file after receiving M of the N message segments.
  • the file processor 31 may comprise a file encoder 35 and an encoded file splitter 36 that convert a file into N message segments.
  • the file encoder 35 may implement a class of encoding algorithms in generating the message segments.
  • the encoded file splitter 36 may implement a class of splitting algorithms.
  • the processor 31 may further comprise a communications network analyzer 37, which may be implemented in hardware and/or as a software module, that determines the condition of a communications network.
  • the processor 31 may also include a message segment parameter selector 38 (which also may be implemented in hardware and/or as a software module) that selects a set of values for M and N based on the determined condition to achieve a preselected probability of a successful transmission of M of the transmitted message segments.
  • the apparatus may include N message segment identifiers 33 that have a one-to-one association with the N message segments 34.
  • message segments 34 are transmitted with their associated identifiers 33 to assist in reassembly of the message.
  • the identifiers 33 can include, for example alphanumeric data.
  • the identifiers 33 are binary numbers. - 21 -
  • the message segments are re-assembled as they are received at the receiver 20.
  • the partially assembled message is forwarded to a decoder 8, e.g., an erasure decoder, which recovers the entire original message.
  • a decoder 8 e.g., an erasure decoder
  • each message segment has a length of b, where 0 ⁇ b ⁇ [n/N] .
  • “[n/N]” denotes the least integer greater than n/N.
  • Limitation of the value of b can assure that each encoded message bit exists in only one message segment. Because n must be greater than k, [k/b] ⁇ N. Hence, there are fewer than N segments when the shorter unencoded message is broken into segments of length b. A longer, encoded message is obtained with N segments of length b.
  • the intended recipient can recover the original message with any subset of [k/b] segments of the N message segments, given an appropriate selection of the encoding scheme.
  • the message recovery mechanism at the intended recipient can tolerate the loss of some of the message segments. This allows for losses due to, e.g., network congestion, broken links, interference or jamming. This may require n bits to be transmitted for every k message bits, where n > k. Advantages are realized, however, such as:
  • - n/k may be smaller than the number of bits that would be transmitted for each bit if an entire block is retransmitted
  • the probability that the intended recipient correctly recovers the original message from a single transmission attempt is improved .
  • - 20 variations in the characteristics of the link aggregate, and dynamically chooses the best combination of encoding/decoding and splitting/reassembly algorithms from a set or class of algorithms.
  • the attempt to optimize can seek a combination that adds the least overhead to achieve a specified probability of successful message delivery.
  • the selection process may further include, e.g., consideration of message priority, other measures of message importance, or cost of latency.
  • the method includes encoding the message to inject redundancy into a message stream, and splitting the encoded message.
  • the split, encoded message is forwarded along spatially diversified routes .
  • a message, or message block that includes k bits is processed through an encoder 2, e.g., a scrambling encoder, that converts the message into an encoded message block of n bits, where n > k.
  • a splitter 4 decomposes the output of the encoder 2 into N message segments, each segment including no more than [n/N] bits. "[n/N]" denotes the least integer greater than n/N. N, n and k are positive integers.
  • Figure 4 illustrates spatial diversification.
  • Each of the N message segments is forwarded to the intended recipient, preferably along a different route. This gives spatial diversification to the routes used for transmission.
  • Nodes a-g are a subset of MANET 23 nodes.
  • the sender 10 forwards segments to the receiver 20 along path Pi (including nodes a and g) , path P 2 (including nodes b and d) , and path P 3 (nodes c, e, and f) .
  • the different physical locations of the nodes forces the message segments to travel through different areas of the network. Link conditions and congestion in different areas may vary considerably.
  • Some embodiments include two or more stages of file splitting. In these embodiments, one or more message segments from a first file splitting step may be further split into additional message segments.
  • a second splitting step may be advantageous, for example, when a node that transmits files via a network has limited access to the network.
  • a node that transmits files via the Internet may have limited gateway access.
  • the access may be limited, for example, to as few as one or two gateways.
  • the node might then split a file into a few message segments, for example three message segments, and transmit the message segments to the gateways.
  • the gateways could further split one or more of the three message segments, and then forward message segments toward a receiver via the Internet.
  • the file is converted into N message segments that enable reassembly of the file from a subset of any M of the message segments. At least M of the N message segments are transmitted toward a receiver for reassembly of the file after receiving M of the N message segments.
  • At least one of the transmitted segments is further converted into N 2 message segments that enable reassembly of the at least one message segment from a subset of any M 2 of the N 2 message segments, where N 2 and M 2 are positive integers and N 2 > M 2 ⁇ 1 ⁇ At least M 2 of the N 2 message segments are transmitted toward the receiver for reassembly of the at least one message segment prior to reassembly of the file.
  • the at least M 2 segments may be reassembled by the receiver.
  • the at least M 2 segments may be received and reassembled by an intermediate node.
  • the reassembled segment may then be transmitted toward the final receiver. Additional conversion steps and/or reassembly steps may be included at intermediate nodes in a transmission network.

Abstract

The invention features an apparatus and method for transmitting a file via a communications network. The apparatus includes a file processor that converts a file into N message segments. The file can be reassembled from a subset of any M of the message segments, where N and M are positive integers, N is greater than M, and M is greater than or equal to 1. The apparatus includes a message segment transmitter. The transmitter transmits at least M of the N message segments to a receiver for reassembly of the file after receiving M of the N message segments.

Description

MESSAGE SPLITTING AND SPATIALLY DIVERSIFIED
MESSAGE ROUTING FOR INCREASING TRANSMISSION ASSURANCE
AND DATA SECURITY OVER DISTRIBUTED NETWORKS
Cross-Reference to Related Case This claims the benefit of and priority to U.S. Provisional Patent Application Serial No. 60/258,127, filed December 22, 2000, the entirety of which is incorporated herein by reference.
Technical Field
The invention generally relates to electronic communications, and, more particularly, to data assurance and security in a network-based communications environment.
Background Information
Mobile ad-hoc networking ("MANET") will likely be of growing importance in a variety of applications, such as mobile, computer-based collaborative work and military communications. Each unit, or node, in such a network may initiate or receive communications, or forward a communication, which may be, for example, a packet of information, between two other units in the network. Since the units may be mobile, a functioning MANET must accommodate variations in the communication pathway between any two units.
Perhaps the earliest and still best known example of a MANET can be found in the use of citizens band radios (commonly called CB radio) . Such radios have a broadcast range limited to approximately 15 miles. Three or more mobile units, located, for example, in trucks or automobiles, can participate in the exchange of communications between two units when the two units are too distant from each other for direct radio contact. In this example, those individuals controlling the additional units may relay communications between the two units which are outside of each others' direct radio contact; and the packets of information might include a message and the identity of the intended recipient of the message.
Since, in a MANET, all units may generally be in constant motion, the neighboring nodes with which a node can communicate directly (called the node's immediate neighborhood) may change over time. The aggregate variation of all nodes' immediate neighborhood is sometimes called the variation in the network configuration. Such variations may cause the communication pathway between two particular units through the network to also vary with time.
Such a communication pathway, that is, the series of units involved in forwarding a communication, may change rapidly. Further, the quality of radio transmissions between any two adjacent units on such a communications pathway can degrade over time because of variations in, for example, the radio propagation environment and the mobility. These changes may occur during the transmission of a single packet of information.
As in any communications network, proper functioning of the MANET requires an effective message routing method or protocol. Moreover, an effective routing method employed in a MANET must, in addition, attempt to accommodate constantly varying communication links between individual mobile units. This requires maintaining accurate knowledge of the variations in the network's configuration. The only means of disseminating such information, however, is through the MANET itself. Hence, the amount of networking resources (e.g., communications bandwidth and mobile unit battery power) that a routing algorithm requires to function properly must also be considered in evaluating its effectiveness . A number of routing methods have been proposed for use in MANETs in recent years. These largely employ broadcast routing of communications, where a message packet contains routing information to enable forwarding of the packet to the destination unit. Under this protocol, units forward messages using either a connectionless or connection-oriented approach. Both approaches require that each mobile unit participate in a background effort to maintain up-to-date information on network configuration and communication links, and a routing pathway is determined prior to transmission of a communication along the pathway.
As discussed earlier, one consequence of nodal movement is the change over time of the characteristics of the direct communication links between neighboring nodes. These constant variations in link characteristics and in network configurations represent two significant differences between MANETs and conventional networks, which are comprised mostly of stationary, point-to-point communication links. Thus, methods for improving or achieving certain levels of data assurance in MANETs will differ from those currently employed for conventional networks, and must be tailored to deal with these time-varying characteristics in link quality and message paths.
In the past, most developments in data networking have assumed fixed links between nodes. In such networks, the availability of such links is often very high, and characteristics of such links remain statistically stationary over time. Hence, these characteristics can be measured simply, and a two-pronged approach has been designed to maintain the desired level of data assurance.
Specifically, channel encoding methods are used to assure data delivery under the majority of channel conditions. When the channel conditions become sufficiently severe that the level of channel encoding cannot assure the delivery of the data, mechanisms are designed into the protocol to allow for retransmission of the messages. The rarity of severe channel conditions is controlled by the choice of the channel encoding mechanism in the design. In addition, a retransmission mechanism may also respond to network congestion - which can be modeled - from the perspective of the two nodes at the two ends of a routing pathway, as channel conditions become sufficiently severe .
In conventional networks, the two-pronged approach is designed because traditional channel encoding techniques can be used to improve data assurance in communications, at a cost in both system complexity and bandwidth overhead. Beyond a certain point, increasing data assurance by choosing more protective channel encoding techniques to accommodate occasionally severe network conditions can incur costs that compare unfavorably to simply retransmitting data because the occurrences of such severe channel conditions may be sufficiently rare. Optimal utilization of a fixed-link network is typically achieved by balancing use of channel encoding techniques and retransmission. In comparison, the characteristics of each link in a MANET are subject to variations in, e.g., the radio channels. The radio signal is subjected to signal strength variation and the Doppler effect caused by the relative mobility of either the transmitting node, the receiving node, or other structures acting as reflectors or obstructions in between. Additionally, the radio signal can be reflected from structures and vehicles and cause multi-path destructive interference, and can be blocked by structures and vehicles. These factors cause the link characteristics to vary more dramatically and over a much larger range than those in traditional fixed link networks. In general, these variations are no longer statistically stationary. The two-pronged approach of encoding and retransmission can be applied to MANETs. Though sub-optimal, this approach can support communications when variations in link characteristics are sufficiently slow and/or small. In contrast, in cases when the variations in link characteristics are fairly large and rapid (such as MANETs in an urban environment, in the presence of dense foliage or in variable terrain) , such adaptations of a two- pronged approach would not be able to capture these variations. Consequently, the application of the two-pronged approach to such cases would have to either rely un-necessarily heavily on the channel encoding techniques to compensate for the channel variations -- which can significantly under-utilize the network resources - or heavily rely upon the retransmission mechanism.
Retransmission is inherently inefficient because it is costly in bandwidth usage and delivery delay. These costs are compounded in a MANET by the potential competition for link usage by multiple nodes in one node's immediate neighborhood. Such competition can be significantly more costly in MANET usage than in conventional network usage because the nodes competing for the same channel may not be aware of each other's existence (the so- called hidden terminal problem) . This may result in excessive retransmission, which can degrade network performance more severely in MANETs than in conventional networks.
Additionally, existing data assurance methods typically do not provide security at either the information or the networking levels, and may even cause the degradation of security. Further, retransmission of an entire message generally compounds the information security risk. At the same time, applying channel coding to message bits and blocks does not provide any data assurance during failure of a route or path. Neither do existing methods of data encryption and authentication provide data assurance when data packets are lost due to interception or j amming .
Traditional methods of providing data security against eavesdropping (such as keyed encryption) grew out of point-to- point or single user communication channel models. The networking environment is, in general, underutilized for improvements in data assurance and security.
Summary of the Invention
The invention generally involves reliable and secure data transmission over a network. The invention is particularly suited to wireless ad hoc networks composed of mobile nodes, which has time-varying communication links between the nodes. In particular, when variations in the characteristics of the communication links between nodes are sufficiently large and rapid to permit useful tracking of the variations, the invention provides more robust and effective data delivery and delivery assurance than prior art methods. Message assurance is accomplished in part by splitting a message into message segments that provide a suitable amount of redundancy (which can vary over time) for the message. Each such message segment is forwarded towards the destination node along, potentially, a different path. A receiver need only receive a fraction of the transmitted message segments to enable reconstruction of the original message. At the same time, the invention provides security gains that require little increase in system complexity or computational burden.
The fraction of segments required for message reconstruction can be dynamically adjusted to accommodate variations in the present condition of the network. Specifically, depending on the aggregate characteristics of the collection of network paths at a particular time, a selection protocol can dynamically select the most appropriate algorithms for processing a message into message segments. This is possible because sudden variations in the characteristics of an individual link may not significantly impact the aggregate characteristic of the collection of the paths. As the number of paths in the collection increases, the aggregate characteristics of the collection stabilize. Hence, tracking is possible. By dynamically adjusting the fraction of message segments required for reconstruction, bandwidth utilization is optimized. The degree of redundancy in data transmission is reduced as network conditions improve, and increased as network conditions degrade. The invention eliminates any requirement to resend an entire message due to network transmission failures. As required, the amount of redundancy can be increased with a corresponding reduction in the fraction of message segments required for reconstruction of the message.
In particular, the invention provides reliable and secure transmission of messages in a MANET. Such a network is made up of mobile communication devices that are all peers. That is, no one device mediates communications for the network. Data assurance can be improved to arbitrary levels by choosing encoding and splitting schemes to tolerate a required level of segment transmission failures.
The invention can reduce message delay and increase utilization of each communication link in virtually any network, whether the nodes are mobile or fixed. The improvement in system resource utilization and performance can grow with the number of nodes and links in the network.
The invention also provides improvement of data security. Message segments are forwarded along different paths, and because multiple message segments are required to reconstruct the original message, an eavesdropper intercepting packets on a particular path can generally obtain little useful information. When message segments are forwarded along distinct paths to a destination, an eavesdropper must simultaneously intercept multiple message segments before a successful recovery of the original message becomes possible. The mobility of the nodes in the network makes this difficult. The number of message segments can be increased to further increase the difficulty of message interception.
Accordingly, in a first aspect, the invention features an apparatus for transmitting a file via a communications network. The apparatus includes a file processor that converts a file into N message segments. The file can be reassembled from a subset of any M of the message segments, where N and M are positive integers, N is greater than M, and M is greater than or equal to 1.
The file can be, for example, a computer data file, such as a binary data file. The processor can be, for example, a computer microprocessor integrated circuit.
The apparatus further includes a message segment transmitter. The transmitter transmits at least M of the N message segments to a receiver, which may reassemble the file after receiving M of the N message segments. The transmitter may be an integrated circuit that transmits the message segments. via a network, such as an optical, electrical or wireless network.
The file processor may include a file encoder and an encoded file splitter that convert the file into the N message segments. The file encoder may implement a class of encoding algorithms in generating the message segments. The encoded file splitter may implement a class of splitting algorithms in generating the message segments. The file processor and the file encoder may be implemented in software, firmware or hardware (e.g. as an application- specific integrated circuit) . The software may be designed to run on general-purpose equipment or specialized processors dedicated to the functionality herein described. In the case of hardware implementation, the file processor and the file encoder may each be, for example, one or more integrated circuits. Alternatively, a single integrated circuit may include the file processor and the file encoder. One or more integrated circuits may implement file processing and file encoding software. The file processor may include a network monitor that determines the condition of the communications network. The condition of the network may include many factors, and the network monitor may determine one or more of the factors. For example, in a wireless network, the condition may include information regarding the signal strength between nodes, which pairs of nodes are able to exchange communications, node movement, etc.
Based on the determined condition, a message segment parameter selector may select a set of values for M. The parameter selector may select a ration for M/N.
The parameters may be chosen to obtain a preselected probability of a successful transmission of M of the N transmitted message segments. For example, when the quality of the communication links degrades, the selected value for M/N may be decreased to provide more redundancy.
The file processor may associate, either explicitly or implicitly through methods such as embedding, N message segment identifiers with the N message segments, a one-to-one association existing between the N message segment identifiers and the N message segments. Each message segment identifier may be transmitted with its associated message segment. The identifiers may be, for example, alphanumeric labels. They may be used to identify message segments and assist reassembly of the message from the message segments.
In a second aspect, the invention features a method for transmitting a file. The method includes converting the file into N message segments that enable reassembly of the file from a subset of any M of the message segments. N and M are positive integers, N is greater than M, and M is greater than or equal to 1. The method further includes transmitting at least M of the N message segments to a receiver. The receiver reassembles the file after receiving at least M of the N message segments.
Transmitting may be accomplished by transmitting message segments via multiple pathways of a communications network. The network may be a wireless, electrical or optical network. The network may be an ad hoc network. The network may have mobile nodes. For example, the network may include a geographically distributed collection of radio transceivers.
Converting the file may include protecting the N message segments with a data security algorithm, or an algorithm that simultaneously provides data security and redundancy for this transmission scheme. Converting the file may include encoding the file and splitting the encoded file into the N message segments .
The encoding may include selecting one of a class of encoding algorithms by use of a selection protocol, and encoding the file in accordance with the selected encoding algorithm.
Splitting the encoded file may include selecting one of a class of splitting algorithms by use of the selection protocol, and splitting the encoded file in accordance with the selected splitting algorithm. Transmitting may include identifying the selected encoding algorithms for a receiver of the file through either explicit or implicit means. Encoding may further include selecting one of a class of encoding algorithms that provide for the recovery of the original data in the absence of some of the message segments .
An encoding algorithm may inject redundancy into the message segments, e.g., via use of erasure correcting codes, to enable reassembly of the original message without requiring the successful delivery of all message segments through their individual paths.
The method may also include receiving at least M of the N message segments and reassembling the file from as few as M of the N message segments. Reassembling the file may further include combining M of the N message segments and recovering the original message from the assembled message segments.
Converting the file may include associating the received message segments according to their unique identifiers. In another embodiment, converting the file includes analyzing the communications network to determine a condition of the communications network. Values for the parameters M and N are selected based on the determined condition to achieve a preselected probability of a successful transmission of M of the transmitted message segments.
The foregoing and other objects, aspects, features, and advantages of the invention will become more apparent from the following description and from the claims.
Brief Description of the Drawings
In the drawings, like reference characters generally refer to the same parts throughout the different views. Also, the drawings are not necessarily to scale, emphasis instead generally being placed upon illustrating the principles of the invention. FIG. 1 illustrates an embodiment of a communication of a message from a source to a destination.
FIG. 2 illustrates an embodiment of a communication of a message that provides improved message security. FIG. 3 illustrates an embodiment of a method that provides message delivery assurance and security.
FIG. 4 illustrates an embodiment of spatial diversification of message transmission, which transmits split message segments along three paths through a network. FIG. 5 illustrates an embodiment of reassembly of a message at a destination.
FIG. 6 illustrates an embodiment where obstruction of a single node does not deny message transmission.
FIG. 7 illustrates an embodiment where eavesdropping on a single link provides no information.
FIG. 8 illustrates an embodiment with integration of data encryption into an encoder and a decoder.
FIG. 9 illustrates an embodiment with integration of data encryption into the splitter and the assembler. FIG. 10 illustrates an embodiment of an apparatus for transmitting a file via a communications network.
Description
The terms "file", "message", "data" and "data file" are herein understood to refer to any entity of data that may be transferred via analog or digital means. The entity may originate in analog or digital form, and, at various times, may be stored in analog or digital form. The entity is capable of transfer between two distinct physical locations via, in particular, electronic, wireless and optically based communications, for example, network-based communications.
An apparatus and method for data assurance in communication networks, preferably MANETs, makes advantageous use of features of networked communications. During a typical communications session (between, e.g., an originating node and a destination node) , messages can be forwarded along multiple, variable data paths. Aggregation of a number of such paths forms a single "super path." In one embodiment, a method includes encoding a message, splitting the encoded result into distinct message segments, and sending each segment along a different path. A receiving node may reconstruct the original message without the requirement that all message segments eventually reach the receiving node after traveling along their individual paths. One embodiment includes a protocol that enables a sender to provide information to a destination, i.e., receiver node, about encoding and splitting algorithms that were used to process a message. Some embodiments include methods for inferring the status of the collection of links. Some embodiments include one or more algorithms for determining which combination of encoding and splitting algorithms to use in response to a current status of the links.
Hence, some embodiments enable dynamic adjustment in response to changing network communication conditions. One such embodiment includes a set of encoding/decoding algorithms and a set of splitting/reassembling algorithms to permit an optimized response to the dynamic variations in the link characteristics. Modified algorithms can incorporate data security enhancement features . For example, encoding algorithms may be used to prevent the deduction of any part of the original message from individual processed message segments. A minimum number of message segments may be required to reconstruct the original message. Further, encryption keys may be used to enhance security. In particular, security enhancement can be achieved by deterministically varying a set of splitting/reassembling algorithms. Data assurance in MANETs can be adjusted to a desired level by choosing an appropriate encoding and splitting scheme to tolerate failures over a sufficiently large number of paths. Encoding redundancy can reduce or eliminate the need for message retransmission. Message delay may be reduced, and utilization of each link in the network may be increased. Generally, the benefit in overall network resource utilization and performance grows with the number of links, i.e., the number of directly communicating node-pair combinations, and the expected number of relaying hops through which a packet is forwarded towards its destination.
In one aspect, the apparatus and method improve data security. As multiple message segments are required to decode the original message, an eavesdropper sniffing, e.g., packets traveling on a particular path cannot deduce much useful information. Additional security components or steps can improve the level of data security; for example, encoding mechanisms can be chosen to avoid exposing the original data bits directly and a bit-position scrambling mechanism can be incorporated before splitting of the message. This provides security gains that require almost no increase in system complexity or computational burden.
In one embodiment, a redundantly encoded message is transmitted by aggregating multiple paths in a MANET to form a single super-path. This aggregation provides robustness in view of the potentially drastic variation in individual links. The super-path has a collective characteristic that improves stability, and statistically resembles a fixed link pathway in comparison to a pathway through a conventional MANET.
The channel coding technique may first encode the message to inject the desired level of redundancy into the message, then split the encoded message into multiple segments, and then forward each segment along a different path. At the receiving end, the extra redundancy injected by the encoding method (via, e.g., erasure correcting codes) may permit reassembly of the original message without requiring the successful delivery of all message segments through their individual paths.
Encoding methods may be used to improve the data assurance to a desired level for a MANET. This is more effective for MANET-based communications than simply adopting or adapting the two-pronged approach of fixed point-to-point channels (and conventional networks) . The characteristics of the aggregated super-path more closely resemble that of the fixed point-to-point channel than that of the individual member paths in the aggregate. Moreover, the variation in the characteristics of the super-path is slower than the variation of individual member paths, and can be designed to become tractable.
As a result, the variation of super-path characteristics can become more sensitive to network communications congestion than to link-to-link communication variations, e.g., radio frequency channel variations, arising from movement of the nodes. Hence, in one embodiment, super-path characteristics are regularly or continuously analyzed, and encoding and splitting algorithms are selected from classes of encoding algorithms and splitting algorithms in response to a determined characteristic. Super- path characteristics may include, for example, the number of successfully received message segments and the identity of the paths through which message segments are successfully received. The performance of these classes of algorithms can be rated. Protocols that implement measurement of super-path characteristics and dynamic selection of an optimum combination of encoding algorithms and splitting algorithms can also be rated. Rating of algorithms and protocols can permit improved optimization of selections.
Encoding and splitting of messages directly improves message security. Because the message segments are forwarded along distinct routes to the destination, an eavesdropper must simultaneously intercept multiple message segments before a successful recovery of the original message becomes possible. The mobility and the geographical distribution of the nodes in the network make this difficult, and splitting the message into more segments can increase the difficulty of recovery. Furthermore, an encoding algorithm can be chosen that prevents message reconstruction without interception of at least a threshold portion of message segments.
Additional security is made possible by scrambling, even simple scrambling, of the positions of the encoded message bits, e.g. before splitting, to prevent message reconstruction by an eavesdropper even when the eavesdropper intercepts a sufficiently large number of message segments. Generally, scrambling and de- scrambling of bit positions requires many fewer operations to execute and complete than traditional encryption and decryption methods.
Some embodiments include a stand-alone protocol layer for insertion in the networking protocol layer. For example, the protocol layer can be inserted between the medium access control (MAC) layer and the networking layer of a communication system. The protocol layer may include mechanisms for monitoring or analyzing the characteristics of network links and a decision algorithm to dynamically choose one of a class of encoding and splitting algorithms based on the observed network link characteristics .
In one embodiment, when the link stability is low, the protocol layer switches to an encoding algorithm that tolerates more losses of the message segments and a message-splitting scheme that results in smaller segments, in an attempt to improve delivery assurance. In another embodiment, when the link stability improves, the protocol layer switches to an encoding algorithm that has requires more message segments to be received and a message-splitting scheme that uses larger segments, in an attempt to reduce the protocol overhead.
The impact of the proposed algorithm and the dynamic protocol can be measured at multiple levels of the network. The probability of delivery success in a single attempt can be improved to any desired level by choosing an appropriate combination of encoding and splitting methods or algorithms. Generally, an entire message is not transmitted along a single path. Instead, a message is fragmented, i.e. split, and forwarded along multiple paths. The realized increase in data assurance general comes with an initial delay in transmission of message segments, or packets, due to the encoding and splitting. Generally, however, overall communications delays are improved because of the improved probability of completion of each message transmission in the first attempt. Referring to Figure 1, an embodiment of a communication of a message from a source to a destination is illustrated. A message 1, e.g., a block of message bits, is fed to an encoder 2, e.g. a scrambling encoder. The encoder 2 injects redundancy into the message bit stream, which increases the number of bits in the message. The encoded message is fed to a message splitter 4, which breaks the message into N message segments. The N message segments are forwarded to the destination along different paths in a MANET 3. An assembler 6 reassembles the encoded message as the segments are received. When the number of segments received reaches a specified threshold, a partially reassembled message is passed to a decoder 8, e.g. an erasure decoder. The decoder recovers the original message 1, using only the bits available from the partially assembled message. The threshold number of segments is determined by the selected coding scheme. Both the assembler 6 and the erasure decoder 8 may be implemented in hardware and/or as software modules .
Improving the probability of completed delivery of a message in a first attempt reduces both the average delay and the number of retransmissions required for deliver of messages through the network. Reducing the number of retransmissions decreases the number of channel contentions in a network with multi-accessing nodes such as a MANET. This may significantly improve the utilization of both the links and the network, in terms of factors such as the number of data bits sent per usage of bandwidth, channel, link, battery power, etc. This in turn significantly improves the overall network throughput and efficiency.
Figure 2 illustrates an embodiment that provides improved message security. A sender 10 and a receiver 20 agree to use a combination of an encoding scheme and a splitting mechanism that splits each message into three segments for transmission via a MANET 23. The MANET 23 includes several nodes a-g. The encoding scheme requires at least two message segments to reach the receiver for recovery of a split message. An eavesdropper is illustrated as intercepting message segments between nodes c and e; a jammer is illustrated as blocking transmission of message segments at node f. Three paths Pi, P2, P3 through the MANET 23 are a subset of all possible paths. Message security and integrity are maintained in spite of the efforts of the eavesdropper and the jammer.
The eavesdropper acquires only a message segment transmitted along path P3. Because the number of message segments threshold is 2, the single segment does not provide any useful information to the eavesdropper. All three segments will reach the receiver 20. The first two to arrive are used to reassemble the original message . The jammer attacking node f prevents the message segment traveling on path P3 from reaching the receiver 20. The other two message segments, however, arrive, and the message is recovered. The jammer cannot prevent the receiver 20 from getting the message. Several criteria may be used to assess the performance of alternative implementations of a decision algorithm and a dynamic protocol. Such criteria may include, for example:
- delivery assurance, the probability of successful receipt of a fully correct message (affected by the probability of link/node failure) ;
- security improvement, in terms of the number of message segments that must be acquired by an eavesdropper in order to reconstruct the original message; and
- improvement in effective bandwidth, the reduction in the number of required retransmissions as compared to, for example, the adaptation of the two-pronged approach to a MANET.
In one embodiment, a protocol is inserted into a network communications protocol stack, e.g., between the MAC and the networking layer. This protocol mechanism senses and predicts - 22 -
Examples of classes of error-correcting codes that can be utilized include Bose-Chaudhuri-Hocquenghem (BCH) codes, Convolutional codes, Hamming codes, Reed-Solomon codes, Golay codes, Turbo codes, and several other linear and nonlinear block codes .
Various embodiments provide significant security benefits. Referring to Figure 6, resistance to localized jamming is one benefit. Jamming, for example, disrupting transmission at a single network node or link, minimally impacts the functionality of the rest of the network. When a jammer located near node f has broken the continuity of path P3, path Pi and path P2 are still able to deliver message segments, and the message is successfully decoded. To be effective at disruption, a jammer must be located close enough to either the sender 10 or receiver 20 to jam a significant number of message segments. For example, the probability of disruption in a mobile, military network is reduced by the requirement for close proximity of a hostile jammer.
Referring to Figure 7, another security benefit of some embodiments is the difficulty an eavesdropper experiences when trying to intercept messages. As illustrated in Figure 7, an eavesdropper is physically located between node c and node e, able to copy any message segment, e.g., data packet, that passes along path P3. The eavesdropper must correctly receive a minimum of [k/b] message segments to recover a complete message. To receive the minimum number of segments, however, requires eavesdropping on other paths P1# P2.
Some embodiments prevent even partial message recovery by the eavesdropper. An appropriately chosen scrambling encoder (e.g., a non-systematic code) can be used to create a condition during which any subset of q message segments, with q < [k/b] , - 23 - will prove insufficient to recover any subset of the original message. Similar to the jammer, the eavesdropper must be physically located very close to either the sender 10 or the intended recipient 20 to effectively intercept segments from multiple paths Pi, P2, P3.
The effectiveness of a local jammer is reduced by taking advantage of the nature of a distributed networking environment . Similarly, a single eavesdropper has a reduced ability to observe enough segments to allow an understanding of the communications carried by the network. As a result, the overall security of information carried by the entire network is significantly improved.
Some embodiments further improve security through use of data encryption by means of bit position scrambling. The selection of a scrambling encoder can be controlled with an encryption key. In some alternative embodiments, the actual bit scrambling can be accomplished in either an encoder or a splitter.
Referring to Figures 8 and 9, embodiments that utilize permutation are illustrated. Figure 8 schematically shows the use of permutation by an encoder 2a. Figure 9 shows the use of permutation by a splitter 4a. For example, even a simple use of an encryption key to alter bit positions in the encoded message, would require the eavesdropper to potentially search through n! possibilities.
Some embodiments that include a scrambling encoder employ an encoding scheme that provides one or both of the following features :
- the encoding scheme provides strong resilience against loss of message segments, preferably having the value of (k + e) as - 24 - close to n as possible, where e is the number of message segment losses that the scheme can overcome, k is the original message length, and n is the encoded message length; and
- no bits in the original message are ascertainable from any message subset below a threshold number; for linear block codes, this generally requires use of non- systematic codes and that approximately half of the elements of a generating matrix elements have a value of 1.
In order for the assembler at the receiving node to correctly reassemble the message fragments, the content of each segment must be identified. In one embodiment, the information required for reassembly is reduced by inclusion of a numbering scheme for the message segments. In a preferred embodiment, a segment carries identification that is a number assigned by the message splitter. This number may be a field in a protocol header that is attached to each message segment, or embedded in the message segment itself.
Additional protocol header fields may be included when encoding and splitting algorithms are altered dynamically to better suit the observed characteristic variations of the super- path. The additional fields can carry measurement data regarding the characteristics of the super-path as well as data that informs the destination node of the changes in the encoding and splitting algorithms. Inclusion of additional protocol header fields incurs additional transmission bandwidth for every hop.
Hence, it is preferable to optimize choices of fields to minimize the resulting bandwidth expansion.
Referring to Figure 10, an embodiment of an apparatus 30 for transmitting a file via a communications network is illustrated. The apparatus 30 includes a file processor 31, which may be implemented in hardware and/or as a software module, and a - 25 - message segment transmitter 32. The file processor converts files into N message segments that enable reassembly of the file from a subset of any M of the message segments. N and M are positive integers and N > M ≥ 1.
The message segment transmitter 32, which may be implemented in hardware and/or as a software module, transmits message segments to a receiver. The receiver can reassemble a file after receiving M of the N message segments.
The file processor 31 may comprise a file encoder 35 and an encoded file splitter 36 that convert a file into N message segments. The file encoder 35 may implement a class of encoding algorithms in generating the message segments. The encoded file splitter 36 may implement a class of splitting algorithms.
The processor 31 may further comprise a communications network analyzer 37, which may be implemented in hardware and/or as a software module, that determines the condition of a communications network. The processor 31 may also include a message segment parameter selector 38 (which also may be implemented in hardware and/or as a software module) that selects a set of values for M and N based on the determined condition to achieve a preselected probability of a successful transmission of M of the transmitted message segments.
Referring to Figure 11, the apparatus may include N message segment identifiers 33 that have a one-to-one association with the N message segments 34. In the embodiment illustrated in Figure 11, message segments 34 are transmitted with their associated identifiers 33 to assist in reassembly of the message. The identifiers 33 can include, for example alphanumeric data. In one embodiment, during transmission, the identifiers 33 are binary numbers. - 21 -
Referring to Figure 5, the message segments are re-assembled as they are received at the receiver 20. When a sufficiently large number of message segments is received, the partially assembled message is forwarded to a decoder 8, e.g., an erasure decoder, which recovers the entire original message. Improved delivery assurance is achieved because not all message segments must be successfully received to permit the recipient to recover the original message .
In one embodiment, each message segment has a length of b, where 0 < b < [n/N] . "[n/N]" denotes the least integer greater than n/N. Limitation of the value of b can assure that each encoded message bit exists in only one message segment. Because n must be greater than k, [k/b] < N. Hence, there are fewer than N segments when the shorter unencoded message is broken into segments of length b. A longer, encoded message is obtained with N segments of length b.
The intended recipient can recover the original message with any subset of [k/b] segments of the N message segments, given an appropriate selection of the encoding scheme. Hence, the message recovery mechanism at the intended recipient can tolerate the loss of some of the message segments. This allows for losses due to, e.g., network congestion, broken links, interference or jamming. This may require n bits to be transmitted for every k message bits, where n > k. Advantages are realized, however, such as:
- n/k may be smaller than the number of bits that would be transmitted for each bit if an entire block is retransmitted; and
- the probability that the intended recipient correctly recovers the original message from a single transmission attempt is improved . - 20 - variations in the characteristics of the link aggregate, and dynamically chooses the best combination of encoding/decoding and splitting/reassembly algorithms from a set or class of algorithms. The attempt to optimize can seek a combination that adds the least overhead to achieve a specified probability of successful message delivery. The selection process may further include, e.g., consideration of message priority, other measures of message importance, or cost of latency.
Referring to Figure 3, one embodiment is illustrated of a method that provides message delivery assurance and security. The method includes encoding the message to inject redundancy into a message stream, and splitting the encoded message. The split, encoded message is forwarded along spatially diversified routes . For example, a message, or message block, that includes k bits is processed through an encoder 2, e.g., a scrambling encoder, that converts the message into an encoded message block of n bits, where n > k. A splitter 4 decomposes the output of the encoder 2 into N message segments, each segment including no more than [n/N] bits. "[n/N]" denotes the least integer greater than n/N. N, n and k are positive integers.
Figure 4 illustrates spatial diversification. Each of the N message segments is forwarded to the intended recipient, preferably along a different route. This gives spatial diversification to the routes used for transmission. Nodes a-g are a subset of MANET 23 nodes. The sender 10 forwards segments to the receiver 20 along path Pi (including nodes a and g) , path P2 (including nodes b and d) , and path P3 (nodes c, e, and f) . The different physical locations of the nodes forces the message segments to travel through different areas of the network. Link conditions and congestion in different areas may vary considerably. Some embodiments include two or more stages of file splitting. In these embodiments, one or more message segments from a first file splitting step may be further split into additional message segments. A second splitting step may be advantageous, for example, when a node that transmits files via a network has limited access to the network. For example, a node that transmits files via the Internet may have limited gateway access. The access may be limited, for example, to as few as one or two gateways.
The node might then split a file into a few message segments, for example three message segments, and transmit the message segments to the gateways. The gateways could further split one or more of the three message segments, and then forward message segments toward a receiver via the Internet.
In some embodiments of a method for transmitting a file, which include multiple splitting steps, the file is converted into N message segments that enable reassembly of the file from a subset of any M of the message segments. At least M of the N message segments are transmitted toward a receiver for reassembly of the file after receiving M of the N message segments.
At least one of the transmitted segments is further converted into N2 message segments that enable reassembly of the at least one message segment from a subset of any M2 of the N2 message segments, where N2 and M2 are positive integers and N2 > M2 ≥ 1 ■ At least M2 of the N2 message segments are transmitted toward the receiver for reassembly of the at least one message segment prior to reassembly of the file.
The at least M2 segments may be reassembled by the receiver. Alternatively, the at least M2 segments may be received and reassembled by an intermediate node. The reassembled segment may then be transmitted toward the final receiver. Additional conversion steps and/or reassembly steps may be included at intermediate nodes in a transmission network.
The above described and various other embodiments are of particular value when applied, for example, to ad-hoc networks, MANETs and conventional packet networks with distributed routing algorithms. Particular value accrues when applied to MANETs that include moderately mobile units.
Variations, modifications, and other implementations of what is described herein will occur to those of ordinary skill in the art without departing from the spirit and the scope of the invention as claimed. Accordingly, the invention is to be defined not by the preceding illustrative description but instead by the spirit and scope of the following claims.
What is claimed is:

Claims

CLAIMS 1. An apparatus for transmitting a file via a communications network, comprising: a file processor that converts the file into N message segments that enable reassembly of the file from a subset of any M of the message segments, where N and M are positive integers, and N > M ≥ 1; and a message segment transmitter that transmits at least M of the N message segments toward a receiver for reassembly of the file after receiving M of the N message segments.
2. The apparatus of claim 1 wherein the file processor comprises a file encoder and an encoded file splitter, which cooperate to convert the file into the N message segments.
3. The apparatus of claim 2 wherein the file encoder implements a class of encoding algorithms in generating the message . segments.
4. The apparatus of claim 2 wherein the encoded file splitter implements a class of splitting algorithms in generating the message segments.
5. The apparatus of claim 2 wherein the file processor further comprises a communications network analyzer that determines a condition of the communications network, and a message segment parameter selector that selects a value for M and a value for N based on the determined condition to achieve a preselected probability of a successful transmission of M of the transmitted message segments.
6. The apparatus of claim 1 further comprising a communications network condition assessor.
7. The apparatus of claim 1 wherein the file processor associates N message segment identifiers with the N message segments, a one-to-one association existing between the N message segment identifiers and the N message segments.
8. A method for transmitting a file, comprising the steps of: converting the file into N message segments that enable reassembly of the file from a subset of any M of the message segments, where N and M are positive integers, and N > M > 1; and transmitting at least M of the N message segments toward a receiver for reassembly of the file after receiving M of the N message segments .
9. The method of claim 8 wherein the step of transmitting comprises transmitting message segments via multiple pathways of a communications network.
10. The method of claim 9 wherein the step of transmitting further transmits message segments via multiple pathways of an ad hoc network .
11. The method of claim 9 wherein the step of transmitting further transmits message segments via multiple pathways of a mobile ad hoc network.
12. The method of claim 8 wherein the step of converting the file comprises protecting the N message segments with a data security algorithm.
13. The method of claim 8 wherein the step of converting the file comprises the steps of encoding the file and splitting the encoded file into the N message segments.
14. The method of claim 13 wherein the step of encoding comprises the steps of selecting one of a class of encoding algorithms by use of a selection protocol and encoding the file in accordance with the selected encoding algorithm.
15. The method of claim 14 wherein the step of splitting the encoded file comprises the steps of selecting one of a class of splitting algorithms by use of the selection protocol and splitting the encoded file in accordance with the selected splitting algorithm.
16. The method of claim 14 wherein the step of transmitting comprises identifying the selected encoding algorithms for a receiver.
17. The method of claim 14 wherein the step of selecting one of the class of encoding algorithms comprises selecting an encoding algorithm that injects redundancy into the message segments to enable reassembly of the file by the receiver if less than N of the message segments are received.
18. The method of claim 8 wherein the step of converting the file comprises the step of associating the N message segments in one-to-one correspondence with N unique identifiers.
19. The method of claim 8 further comprising the steps of receiving at least M of the N message segments and reassembling the file from as few as M of the N message segments.
20. The method of claim 19 wherein the step of reassembling the file further comprises the steps of combining M of the N message segments and decoding the combined message segments .
21. The method of claim 8 wherein the step of converting the file further comprises the steps of analyzing the communications network to determine a condition of the communications network, and selecting a value for M and a value for N based on the determined condition to achieve a preselected probability of a successful transmission of M of the transmitted message segments.
22. The method of claim 8 wherein the step of converting the file comprises converting the file into N message segments that require an eavesdropper to intercept at least M of the message segments to reassemble the file.
23. The method of claim 8 wherein the step of transmitting comprises transmitting less than M of the N message segments on any one pathway of a plurality of pathways to inhibit an eavesdropper from recovery of the file.
24. The method of claim 8 wherein the step of transmitting comprises transmitting at most (N - M) of the N message segments on any one pathway of a plurality of pathways to inhibit a jammer from preventing reassembly of the file by the receiver.
25. The method of claim 8 further comprising the step of causing conversion of at least one of the M message segments into N2 message segments that enable reassembly of the at least one message segment from a subset of any M2 of the N2 message segments, where N2 and M2 are positive integers and N2 > M2 ≥ 1; and causing transmission of at least M2 of the N2 message segments toward the receiver for reassembly of the at least one message segment prior to reassembly of the file.
26. The method of claim 25 further comprising the steps of causing reassembly of the at least one message segment; and causing transmission of the at least one reassembled message segment toward the receiver.
27. The method of claim 25 further comprising the steps of receiving, by the receiver, the at least M2 message segments; and reassembling the at least one message segment.
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Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005025179A1 (en) * 2003-09-10 2005-03-17 Csaba Bona Method for transmitting electronic data via a dual network in order to increase internet security
WO2006034990A1 (en) * 2004-09-29 2006-04-06 Siemens Aktiengesellschaft Method for the distribution of software and configuration data, and corresponding data network
WO2006121900A2 (en) * 2005-05-09 2006-11-16 Kyocera Corporation Multiple source wireless communication system and method
EP1850554A2 (en) * 2006-04-21 2007-10-31 LONMARK Deutschland e.V. Safe communications in a network
WO2007149014A1 (en) * 2006-06-20 2007-12-27 Telefonaktiebolaget Lm Ericsson (Publ) A user terminal for enhanced security in a wireless communications system, and a system for its use
GB2444343A (en) * 2006-12-01 2008-06-04 David Irvine Encryption system for peer-to-peer networks in which data is divided into chunks and self-encryption is applied
WO2008065341A2 (en) 2006-12-01 2008-06-05 David Irvine Distributed network system
EP1976201A1 (en) * 2007-03-30 2008-10-01 Lucent Technologies Inc. Shared communication capabilities of mobile stations for high bandwidth communications
FR2929063A1 (en) * 2008-03-20 2009-09-25 Canon Kk METHOD AND DEVICE FOR ALLOCATING DATA TRANSMISSION PATHS IN A SYNCHRONOUS COMMUNICATION NETWORK, COMPUTER PROGRAM PRODUCT AND CORRESPONDING STORAGE MEDIUM
EP2107731A1 (en) 2008-03-31 2009-10-07 Mitsubishi Electric R&D Centre Europe B.V. Method and a device for transferring a flow of data by a first telecommunication device to a second telecommunication device
EP2107730A1 (en) 2008-03-31 2009-10-07 Mitsubishi Electric R&D Centre Europe B.V. Method for determining to which resource among plural resources, elements of a group of elements have to be allocated
EP2333997A1 (en) * 2009-12-14 2011-06-15 Alcatel Lucent Method of dispersity transmitting a piece of information
WO2012025375A1 (en) * 2010-08-26 2012-03-01 Robert Bosch Gmbh Method for transmitting sensor data
WO2012051006A1 (en) * 2010-10-04 2012-04-19 Unisys Corporation Methods and systems for providing and controlling cryptographically secure communications across unsecured networks between a secure virtual terminal and a remote system
RU2671989C1 (en) * 2017-11-27 2018-11-08 Акционерное общество "Калужский научно-исследовательский институт телемеханических устройств" Method of transmission of multilateral messages by the concatenated code in the communication complexes
EP3371934A4 (en) * 2015-11-02 2019-04-10 Dispersive Networks, Inc. Virtual dispersive networking systems and methods
RU2710911C1 (en) * 2019-03-04 2020-01-14 Акционерное общество "Калужский научно-исследовательский институт телемеханических устройств" Method of transmitting multi-unit messages in telecode communication systems
RU2755055C1 (en) * 2020-10-13 2021-09-13 Акционерное общество "Калужский научно-исследовательский институт телемеханических устройств" Method for transmitting multiblock messages by cascade code [rs (32, 16, 17), bch (31, 16, 7)]

Families Citing this family (760)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7391865B2 (en) 1999-09-20 2008-06-24 Security First Corporation Secure data parser method and system
US20040073617A1 (en) 2000-06-19 2004-04-15 Milliken Walter Clark Hash-based systems and methods for detecting and preventing transmission of unwanted e-mail
US7002942B2 (en) * 2001-08-02 2006-02-21 Motorola, Inc. Method and apparatus for communicating information by splitting information among a plurality of proximal units
US6958984B2 (en) * 2001-08-02 2005-10-25 Motorola, Inc. Method and apparatus for aggregation of wireless resources of proximal wireless units to facilitate diversity signal combining
US7548506B2 (en) 2001-10-17 2009-06-16 Nortel Networks Limited System access and synchronization methods for MIMO OFDM communications systems and physical layer packet and preamble design
US7032224B2 (en) * 2001-12-31 2006-04-18 Slam Dunk Networks, Inc. Method for the secure and timely delivery of large messages over a distributed communication network
US20040025018A1 (en) * 2002-01-23 2004-02-05 Haas Zygmunt J. Secure end-to-end communication in mobile ad hoc networks
US6760845B1 (en) 2002-02-08 2004-07-06 Networks Associates Technology, Inc. Capture file format system and method for a network analyzer
US7599852B2 (en) * 2002-04-05 2009-10-06 Sponster Llc Method and apparatus for adding advertising tag lines to electronic messages
US20030204741A1 (en) * 2002-04-26 2003-10-30 Isadore Schoen Secure PKI proxy and method for instant messaging clients
US20030236869A1 (en) * 2002-06-04 2003-12-25 Emmot Darel N. Data management system and method
AU2003266962A1 (en) * 2002-08-06 2004-02-25 Brainshield Technologies Inc. Device for carrying out the copy-protected distribution of electronic documents
US7653632B2 (en) * 2002-10-01 2010-01-26 Texas Instruments Incorporated File system for storing multiple files as a single compressed file
US7869399B2 (en) 2003-01-06 2011-01-11 Interdigital Technology Corporation Method and apparatus for controlling the distribution of multimedia broadcast services
US9372870B1 (en) 2003-01-21 2016-06-21 Peer Fusion, Inc. Peer to peer code generator and decoder for digital systems and cluster storage system
US8626820B1 (en) * 2003-01-21 2014-01-07 Peer Fusion, Inc. Peer to peer code generator and decoder for digital systems
US8108500B2 (en) * 2003-06-13 2012-01-31 Broadcom Corporation Probing-based auto moding
KR100526183B1 (en) * 2003-07-15 2005-11-03 삼성전자주식회사 Apparatus and Method for efficient data transmission/reception in Mobile Ad-hoc Network
GB0317308D0 (en) * 2003-07-24 2003-08-27 Koninkl Philips Electronics Nv Wireless network security
JP4448000B2 (en) * 2003-11-05 2010-04-07 キヤノン株式会社 Information transmission apparatus, information transmission destination designation method, storage medium, and program
GB2409299B (en) * 2003-12-18 2007-11-07 Ibm A system for preparing data
GB0406095D0 (en) * 2004-03-17 2004-04-21 Koninkl Philips Electronics Nv Method for providing secure data transfer in a mesh network
US8041792B2 (en) * 2004-06-24 2011-10-18 Freestyle Technology Pty Ltd Client processor device for building application files from file fragments for different versions of an application
US8606891B2 (en) 2004-09-10 2013-12-10 Freestyle Technology Pty Ltd Client processor device for building application files from file fragments for different versions of an application
WO2006023836A2 (en) * 2004-08-18 2006-03-02 Time Warner, Inc. Method and apparatus for wirelessly sharing a file using an application level connection
US7860922B2 (en) * 2004-08-18 2010-12-28 Time Warner, Inc. Method and device for the wireless exchange of media content between mobile devices based on content preferences
US7860923B2 (en) * 2004-08-18 2010-12-28 Time Warner Inc. Method and device for the wireless exchange of media content between mobile devices based on user information
CN101375284B (en) 2004-10-25 2012-02-22 安全第一公司 Secure data parser method and system
CN100499459C (en) * 2005-02-24 2009-06-10 华为技术有限公司 Method for implementing information stream transmission in next generation network
US8266237B2 (en) * 2005-04-20 2012-09-11 Microsoft Corporation Systems and methods for providing distributed, decentralized data storage and retrieval
US20070024471A1 (en) * 2005-08-01 2007-02-01 Lexmark International, Inc. Systems and methods for secure communication over wired transmission channels
US20070053512A1 (en) * 2005-09-02 2007-03-08 Sbc Knowledge Ventures Lp Method and apparatus for improving security in a voice over internet protocol session
US9996413B2 (en) * 2007-10-09 2018-06-12 International Business Machines Corporation Ensuring data integrity on a dispersed storage grid
US8352782B2 (en) * 2005-09-30 2013-01-08 Cleversafe, Inc. Range based rebuilder for use with a dispersed data storage network
US7953937B2 (en) * 2005-09-30 2011-05-31 Cleversafe, Inc. Systems, methods, and apparatus for subdividing data for storage in a dispersed data storage grid
US10154034B2 (en) 2010-04-26 2018-12-11 International Business Machines Corporation Cooperative data access request authorization in a dispersed storage network
US11474903B1 (en) 2005-09-30 2022-10-18 Pure Storage, Inc. Rebuilding of encoded data slices using locally decodable code segments
US11416339B1 (en) 2005-09-30 2022-08-16 Pure Storage, Inc. Validating requests based on stored vault information
US9063881B2 (en) 2010-04-26 2015-06-23 Cleversafe, Inc. Slice retrieval in accordance with an access sequence in a dispersed storage network
US10866754B2 (en) 2010-04-26 2020-12-15 Pure Storage, Inc. Content archiving in a distributed storage network
US10250686B2 (en) 2005-09-30 2019-04-02 International Business Machines Corporation Finding alternate storage locations to support failing disk migration
US10044807B2 (en) 2005-09-30 2018-08-07 International Business Machines Corporation Optimistic checked writes
US11327674B2 (en) 2012-06-05 2022-05-10 Pure Storage, Inc. Storage vault tiering and data migration in a distributed storage network
US11909418B1 (en) 2005-09-30 2024-02-20 Pure Storage, Inc. Access authentication in a dispersed storage network
US9027080B2 (en) * 2008-03-31 2015-05-05 Cleversafe, Inc. Proxy access to a dispersed storage network
US10270858B2 (en) 2005-09-30 2019-04-23 International Business Machines Corporation Inducing memory device idle time through rolling read prioritizations
US8595435B2 (en) * 2009-07-30 2013-11-26 Cleversafe, Inc. Dispersed storage write process
US8880799B2 (en) * 2005-09-30 2014-11-04 Cleversafe, Inc. Rebuilding data on a dispersed storage network
US11841770B2 (en) 2005-09-30 2023-12-12 Pure Storage, Inc. Storage unit connection security in a storage network and methods for use therewith
US10855769B2 (en) 2005-09-30 2020-12-01 Pure Storage, Inc. Prioritizing memory devices to replace based on namespace health
US11620185B2 (en) 2005-09-30 2023-04-04 Pure Storage, Inc. Integrity processing in a dispersed storage network
US8555109B2 (en) * 2009-07-30 2013-10-08 Cleversafe, Inc. Method and apparatus for distributed storage integrity processing
US11080138B1 (en) 2010-04-26 2021-08-03 Pure Storage, Inc. Storing integrity information in a vast storage system
US10432726B2 (en) 2005-09-30 2019-10-01 Pure Storage, Inc. Last-resort operations to save at-risk-data
US10747616B2 (en) 2015-03-31 2020-08-18 Pure Storage, Inc. Adapting rebuilding of encoded data slices in a dispersed storage network
US10282440B2 (en) 2015-03-31 2019-05-07 International Business Machines Corporation Prioritizing rebuilding of encoded data slices
US10860424B1 (en) 2005-09-30 2020-12-08 Pure Storage, Inc. Background verification processing in a storage network
US10169229B2 (en) 2012-06-05 2019-01-01 International Business Machines Corporation Protocols for expanding existing sites in a dispersed storage network
US9632722B2 (en) 2010-05-19 2017-04-25 International Business Machines Corporation Balancing storage unit utilization within a dispersed storage network
US7574570B2 (en) * 2005-09-30 2009-08-11 Cleversafe Inc Billing system for information dispersal system
US10389814B2 (en) 2005-09-30 2019-08-20 Pure Storage, Inc. Prioritizing memory devices to replace based on namespace health
US8694668B2 (en) * 2005-09-30 2014-04-08 Cleversafe, Inc. Streaming media software interface to a dispersed data storage network
US11221917B1 (en) 2005-09-30 2022-01-11 Pure Storage, Inc. Integrity processing in a dispersed storage network
US8171101B2 (en) * 2005-09-30 2012-05-01 Cleversafe, Inc. Smart access to a dispersed data storage network
US11272009B1 (en) 2005-09-30 2022-03-08 Pure Storage, Inc. Managed data slice maintenance in a distributed storage system
US10051057B2 (en) 2005-09-30 2018-08-14 International Business Machines Corporation Prioritizing read locations based on an error history
US10356177B2 (en) 2005-09-30 2019-07-16 International Business Machines Corporation Prioritizing ranges to rebuild based on namespace health
US8357048B2 (en) 2009-09-29 2013-01-22 Cleversafe, Inc. Interactive gaming utilizing a dispersed storage network
US9774684B2 (en) 2005-09-30 2017-09-26 International Business Machines Corporation Storing data in a dispersed storage network
US8209363B2 (en) 2007-10-09 2012-06-26 Cleversafe, Inc. File system adapted for use with a dispersed data storage network
US10257276B2 (en) 2005-09-30 2019-04-09 International Business Machines Corporation Predictive rebalancing according to future usage expectations
US11340988B2 (en) 2005-09-30 2022-05-24 Pure Storage, Inc. Generating integrity information in a vast storage system
US10938418B2 (en) 2005-09-30 2021-03-02 Pure Storage, Inc. Online disk replacement/removal
US8285878B2 (en) * 2007-10-09 2012-10-09 Cleversafe, Inc. Block based access to a dispersed data storage network
US7904475B2 (en) * 2007-10-09 2011-03-08 Cleversafe, Inc. Virtualized data storage vaults on a dispersed data storage network
WO2008054406A2 (en) 2005-11-18 2008-05-08 Orsini Rick L Secure data parser method and system
US8014389B2 (en) * 2005-12-06 2011-09-06 Lippershy Celestial Llc Bidding network
TWI301021B (en) * 2005-12-27 2008-09-11 Ind Tech Res Inst File distribution and access system and method for file management
US7716180B2 (en) * 2005-12-29 2010-05-11 Amazon Technologies, Inc. Distributed storage system with web services client interface
US20070177739A1 (en) * 2006-01-27 2007-08-02 Nec Laboratories America, Inc. Method and Apparatus for Distributed Data Replication
CN101432756B (en) * 2006-04-27 2012-01-11 Nxp股份有限公司 Secure storage system and method for secure storing
WO2008001327A2 (en) * 2006-06-30 2008-01-03 Koninklijke Philips Electronics N.V. Method and apparatus for encrypting/decrypting data
DE102006030838A1 (en) * 2006-07-04 2008-01-10 Technische Universität München A signal encoder, a signal decoder, a method of configuring a signal encoder, a method of configuring a signal decoder, a method of operating a signal encoder, a method of operating a signal decoder, a computer program and a data transmission system
US20080137854A1 (en) * 2006-11-20 2008-06-12 Victor Bryan Friday Secure data transmission utility system
CA2670597A1 (en) * 2006-12-05 2008-06-12 Don Martin Improved tape backup method using a secure data parser
DE602006011923D1 (en) 2006-12-06 2010-03-11 Research In Motion Ltd Method and system for communication of a message system
US8301179B2 (en) * 2006-12-06 2012-10-30 Research In Motion Limited Method and system for communicating a message attachment
FR2920618B1 (en) * 2007-08-31 2009-10-30 Thales Sa METHOD FOR DISTRIBUTING CRYPTOGRAPHIC KEYS IN A COMMUNICATION NETWORK
US9521186B2 (en) 2007-09-13 2016-12-13 International Business Machines Corporation Method and system for file transfer over a messaging infrastructure
CN102932136B (en) 2007-09-14 2017-05-17 安全第一公司 Systems and methods for managing cryptographic keys
US20090083366A1 (en) * 2007-09-26 2009-03-26 Martin Roantree Secure document transmission
US9959076B2 (en) 2007-10-09 2018-05-01 International Business Machines Corporation Optimized disk load distribution
US8965956B2 (en) * 2007-10-09 2015-02-24 Cleversafe, Inc. Integrated client for use with a dispersed data storage network
US8533256B2 (en) * 2007-10-09 2013-09-10 Cleversafe, Inc. Object interface to a dispersed data storage network
US9697171B2 (en) 2007-10-09 2017-07-04 Internaitonal Business Machines Corporation Multi-writer revision synchronization in a dispersed storage network
US9888076B2 (en) 2007-10-09 2018-02-06 International Business Machines Corporation Encoded data slice caching in a distributed storage network
US8478865B2 (en) * 2007-10-09 2013-07-02 Cleversafe, Inc. Systems, methods, and apparatus for matching a connection request with a network interface adapted for use with a dispersed data storage network
US8549351B2 (en) * 2007-10-09 2013-10-01 Cleversafe, Inc. Pessimistic data reading in a dispersed storage network
US8185614B2 (en) * 2007-10-09 2012-05-22 Cleversafe, Inc. Systems, methods, and apparatus for identifying accessible dispersed digital storage vaults utilizing a centralized registry
US10027478B2 (en) 2007-10-09 2018-07-17 International Business Machines Corporation Differential key backup
US8819179B2 (en) 2007-10-09 2014-08-26 Cleversafe, Inc. Data revision synchronization in a dispersed storage network
US8572429B2 (en) * 2007-10-09 2013-10-29 Cleversafe, Inc. Optimistic data writing in a dispersed storage network
US8189768B2 (en) * 2007-10-31 2012-05-29 First Principles, Inc. Secure messaging
US8442070B1 (en) * 2008-02-01 2013-05-14 Hobnob, Inc. Fractional threshold encoding and aggregation
EP2416541A1 (en) 2008-02-22 2012-02-08 Security First Corporation Systems and methods for secure workgroup management and communication
US9501355B2 (en) 2008-03-31 2016-11-22 International Business Machines Corporation Storing data and directory information in a distributed storage network
US10169598B1 (en) 2008-04-10 2019-01-01 United Services Automobile Association Systems and methods for sending and receiving encrypted submessages
US8819011B2 (en) * 2008-07-16 2014-08-26 Cleversafe, Inc. Command line interpreter for accessing a data object stored in a distributed storage network
US8630987B2 (en) * 2008-07-16 2014-01-14 Cleversafe, Inc. System and method for accessing a data object stored in a distributed storage network
DE102008035923A1 (en) * 2008-08-01 2010-02-11 Robert Niggl System for controlled exchange of data between identified Internet devices by partial data transmission, has transmission routes that are provided between source system and target system
US10104045B2 (en) 2009-04-20 2018-10-16 International Business Machines Corporation Verifying data security in a dispersed storage network
US8819781B2 (en) * 2009-04-20 2014-08-26 Cleversafe, Inc. Management of network devices within a dispersed data storage network
US11868498B1 (en) 2009-04-20 2024-01-09 Pure Storage, Inc. Storage integrity processing in a storage network
US8656187B2 (en) * 2009-04-20 2014-02-18 Cleversafe, Inc. Dispersed storage secure data decoding
US10447474B2 (en) 2009-04-20 2019-10-15 Pure Storage, Inc. Dispersed data storage system data decoding and decryption
US8744071B2 (en) * 2009-04-20 2014-06-03 Cleversafe, Inc. Dispersed data storage system data encryption and encoding
US9483656B2 (en) 2009-04-20 2016-11-01 International Business Machines Corporation Efficient and secure data storage utilizing a dispersed data storage system
AU2010249631B2 (en) 2009-05-19 2016-02-18 Security First Corp. Systems and methods for securing data in the cloud
US10230692B2 (en) * 2009-06-30 2019-03-12 International Business Machines Corporation Distributed storage processing module
US10108492B2 (en) 2009-07-30 2018-10-23 International Business Machines Corporation Rebuilding data stored in a dispersed storage network
US9208025B2 (en) 2009-07-30 2015-12-08 Cleversafe, Inc. Virtual memory mapping in a dispersed storage network
US9009575B2 (en) 2009-07-30 2015-04-14 Cleversafe, Inc. Rebuilding a data revision in a dispersed storage network
US9558059B2 (en) 2009-07-30 2017-01-31 International Business Machines Corporation Detecting data requiring rebuilding in a dispersed storage network
US9207870B2 (en) 2009-07-30 2015-12-08 Cleversafe, Inc. Allocating storage units in a dispersed storage network
US8527838B2 (en) 2009-07-31 2013-09-03 Cleversafe, Inc. Memory controller utilizing an error coding dispersal function
CA2766719C (en) 2009-07-31 2018-02-13 International Business Machines Corporation Collaborative agent encryption and decryption
US8560855B2 (en) 2009-08-27 2013-10-15 Cleversafe, Inc. Verification of dispersed storage network access control information
US9411810B2 (en) 2009-08-27 2016-08-09 International Business Machines Corporation Method and apparatus for identifying data inconsistency in a dispersed storage network
US8949695B2 (en) * 2009-08-27 2015-02-03 Cleversafe, Inc. Method and apparatus for nested dispersed storage
EP2471213A1 (en) * 2009-08-30 2012-07-04 Robert Niggl Method and system for the controlled data exchange between identified it devices
WO2011026661A1 (en) 2009-09-03 2011-03-10 International Business Machines Corporation Shared-bandwidth multiple target remote copy
WO2011039451A1 (en) * 2009-09-29 2011-04-07 France Telecom Method for masking an identifier of at least one recipient of a communication, device and corresponding computer program
US8918534B2 (en) 2009-09-29 2014-12-23 Cleversafe, Inc. Writing data slices to ready and non-ready distributed storage units in a distributed storage network
US8548913B2 (en) * 2009-09-29 2013-10-01 Cleversafe, Inc. Method and apparatus to secure an electronic commerce transaction
US9448730B2 (en) * 2009-09-30 2016-09-20 International Business Machines Corporation Method and apparatus for dispersed storage data transfer
US20170147219A1 (en) * 2009-09-30 2017-05-25 International Business Machines Corporation Utilization of solid-state memory devices in a dispersed storage network
US20110093540A1 (en) * 2009-09-30 2011-04-21 Bae Systems Information And Electronic Systems Integration Inc. Method and system for communications using cooperative helper nodes
US8438456B2 (en) * 2009-10-05 2013-05-07 Cleversafe, Inc. Method and apparatus for dispersed storage of streaming data
US8560604B2 (en) 2009-10-08 2013-10-15 Hola Networks Ltd. System and method for providing faster and more efficient data communication
US9774678B2 (en) 2009-10-29 2017-09-26 International Business Machines Corporation Temporarily storing data in a dispersed storage network
US9661356B2 (en) 2009-10-29 2017-05-23 International Business Machines Corporation Distribution of unique copies of broadcast data utilizing fault-tolerant retrieval from dispersed storage
US10757187B2 (en) 2009-10-29 2020-08-25 Pure Storage, Inc. Streaming all-or-nothing encoding with random offset support
US8522074B2 (en) * 2009-10-29 2013-08-27 Cleversafe, Inc. Intentionally introduced storage deviations in a dispersed storage network
US9015431B2 (en) * 2009-10-29 2015-04-21 Cleversafe, Inc. Distributed storage revision rollbacks
US10389845B2 (en) 2009-10-29 2019-08-20 Pure Storage, Inc. Determining how to service requests based on several indicators
US10073737B2 (en) 2009-10-30 2018-09-11 International Business Machines Corporation Slice location identification
US9311185B2 (en) 2009-10-30 2016-04-12 Cleversafe, Inc. Dispersed storage unit solicitation method and apparatus
US9413529B2 (en) 2009-10-30 2016-08-09 International Business Machines Corporation Distributed storage network and method for storing and retrieving encryption keys
US9098376B2 (en) 2009-10-30 2015-08-04 Cleversafe, Inc. Distributed storage network for modification of a data object
US8479078B2 (en) * 2009-10-30 2013-07-02 Cleversafe, Inc. Distributed storage network for modification of a data object
US20110107182A1 (en) * 2009-10-30 2011-05-05 Cleversafe, Inc. Dispersed storage unit solicitation method and apparatus
US8589637B2 (en) * 2009-10-30 2013-11-19 Cleversafe, Inc. Concurrent set storage in distributed storage network
US9195408B2 (en) 2009-10-30 2015-11-24 Cleversafe, Inc. Highly autonomous dispersed storage system retrieval method
US9900150B2 (en) * 2009-10-30 2018-02-20 International Business Machines Corporation Dispersed storage camera device and method of operation
CN104113477A (en) 2009-11-18 2014-10-22 日本电气株式会社 Dynamic route branching system and dynamic route branching method
US8918897B2 (en) 2009-11-24 2014-12-23 Cleversafe, Inc. Dispersed storage network data slice integrity verification
US9152514B2 (en) 2009-11-24 2015-10-06 Cleversafe, Inc. Rebuilding a data segment in a dispersed storage network
US9270298B2 (en) 2009-11-24 2016-02-23 International Business Machines Corporation Selecting storage units to rebuild an encoded data slice
US9501349B2 (en) 2009-11-24 2016-11-22 International Business Machines Corporation Changing dispersed storage error encoding parameters
US8621268B2 (en) * 2009-11-25 2013-12-31 Cleversafe, Inc. Write threshold utilization in a dispersed storage system
US9626248B2 (en) 2009-11-25 2017-04-18 International Business Machines Corporation Likelihood based rebuilding of missing encoded data slices
US9996548B2 (en) 2009-11-25 2018-06-12 International Business Machines Corporation Dispersed storage using localized peer-to-peer capable wireless devices in a peer-to-peer or femto cell supported carrier served fashion
WO2011068738A2 (en) 2009-11-25 2011-06-09 Orsini Rick L Systems and methods for securing data in motion
US9672109B2 (en) 2009-11-25 2017-06-06 International Business Machines Corporation Adaptive dispersed storage network (DSN) and system
US8688907B2 (en) * 2009-11-25 2014-04-01 Cleversafe, Inc. Large scale subscription based dispersed storage network
US9489264B2 (en) 2009-11-25 2016-11-08 International Business Machines Corporation Storing an encoded data slice as a set of sub-slices
US10015141B2 (en) 2009-11-25 2018-07-03 International Business Machines Corporation Dispersed data storage in a VPN group of devices
US8527807B2 (en) * 2009-11-25 2013-09-03 Cleversafe, Inc. Localized dispersed storage memory system
US8458233B2 (en) 2009-11-25 2013-06-04 Cleversafe, Inc. Data de-duplication in a dispersed storage network utilizing data characterization
US9836352B2 (en) 2009-11-25 2017-12-05 International Business Machines Corporation Detecting a utilization imbalance between dispersed storage network storage units
US20110145336A1 (en) * 2009-12-14 2011-06-16 Carroll Martin D Electronic mail server and method for automatically generating address lists
US10001923B2 (en) 2009-12-29 2018-06-19 International Business Machines Corporation Generation collapse
US10133632B2 (en) 2009-12-29 2018-11-20 International Business Machines Corporation Determining completion of migration in a dispersed storage network
US10031669B2 (en) 2009-12-29 2018-07-24 International Business Machines Corporation Scheduling migration related traffic to be non-disruptive and performant
US9866595B2 (en) 2009-12-29 2018-01-09 International Busines Machines Corporation Policy based slice deletion in a dispersed storage network
US9507735B2 (en) 2009-12-29 2016-11-29 International Business Machines Corporation Digital content retrieval utilizing dispersed storage
US9369526B2 (en) 2009-12-29 2016-06-14 International Business Machines Corporation Distributed storage time synchronization based on retrieval delay
US8468368B2 (en) * 2009-12-29 2013-06-18 Cleversafe, Inc. Data encryption parameter dispersal
US9413393B2 (en) 2009-12-29 2016-08-09 International Business Machines Corporation Encoding multi-media content for a centralized digital video storage system
US10289505B2 (en) * 2009-12-29 2019-05-14 International Business Machines Corporation Dispersed multi-media content for a centralized digital video storage system
US9305597B2 (en) 2009-12-29 2016-04-05 Cleversafe, Inc. Accessing stored multi-media content based on a subscription priority level
US10148788B2 (en) 2009-12-29 2018-12-04 International Business Machines Corporation Method for providing schedulers in a distributed storage network
US10237281B2 (en) 2009-12-29 2019-03-19 International Business Machines Corporation Access policy updates in a dispersed storage network
US8762343B2 (en) * 2009-12-29 2014-06-24 Cleversafe, Inc. Dispersed storage of software
US9798467B2 (en) 2009-12-29 2017-10-24 International Business Machines Corporation Security checks for proxied requests
US9152489B2 (en) 2009-12-29 2015-10-06 Cleversafe, Inc. Revision synchronization of a dispersed storage network
US9330241B2 (en) 2009-12-29 2016-05-03 International Business Machines Corporation Applying digital rights management to multi-media file playback
US8990585B2 (en) 2009-12-29 2015-03-24 Cleversafe, Inc. Time based dispersed storage access
US10067831B2 (en) 2009-12-29 2018-09-04 International Business Machines Corporation Slice migration in a dispersed storage network
US10372686B2 (en) 2009-12-29 2019-08-06 International Business Machines Corporation Policy-based storage in a dispersed storage network
US9922063B2 (en) 2009-12-29 2018-03-20 International Business Machines Corporation Secure storage of secret data in a dispersed storage network
US10158648B2 (en) 2009-12-29 2018-12-18 International Business Machines Corporation Policy-based access in a dispersed storage network
US9672108B2 (en) 2009-12-29 2017-06-06 International Business Machines Corporation Dispersed storage network (DSN) and system with improved security
US20180335967A1 (en) 2009-12-29 2018-11-22 International Business Machines Corporation User customizable data processing plan in a dispersed storage network
US9727266B2 (en) 2009-12-29 2017-08-08 International Business Machines Corporation Selecting storage units in a dispersed storage network
US9462316B2 (en) * 2009-12-29 2016-10-04 International Business Machines Corporation Digital content retrieval utilizing dispersed storage
US8959366B2 (en) * 2010-01-28 2015-02-17 Cleversafe, Inc. De-sequencing encoded data slices
US20110184997A1 (en) * 2010-01-28 2011-07-28 Cleversafe, Inc. Selecting storage facilities in a plurality of dispersed storage networks
US9043548B2 (en) 2010-01-28 2015-05-26 Cleversafe, Inc. Streaming content storage
US9201732B2 (en) 2010-01-28 2015-12-01 Cleversafe, Inc. Selective activation of memory to retrieve data in a dispersed storage network
US9760440B2 (en) 2010-01-28 2017-09-12 International Business Machines Corporation Site-based namespace allocation
US8954667B2 (en) * 2010-01-28 2015-02-10 Cleversafe, Inc. Data migration in a dispersed storage network
US8918674B2 (en) 2010-01-28 2014-12-23 Cleversafe, Inc. Directory file system in a dispersed storage network
US11301592B2 (en) 2010-01-28 2022-04-12 Pure Storage, Inc. Distributed storage with data obfuscation and method for use therewith
US20180365105A1 (en) 2014-06-05 2018-12-20 International Business Machines Corporation Establishing an operation execution schedule in a dispersed storage network
US11429486B1 (en) 2010-02-27 2022-08-30 Pure Storage, Inc. Rebuilding data via locally decodable redundancy in a vast storage network
US10268374B2 (en) 2010-02-27 2019-04-23 International Business Machines Corporation Redundant array of independent discs and dispersed storage network system re-director
US8850113B2 (en) * 2010-02-27 2014-09-30 Cleversafe, Inc. Data migration between a raid memory and a dispersed storage network memory
US9606867B2 (en) 2014-06-05 2017-03-28 International Business Machines Corporation Maintaining data storage in accordance with an access metric
US10216647B2 (en) 2010-02-27 2019-02-26 International Business Machines Corporation Compacting dispersed storage space
US9135115B2 (en) 2010-02-27 2015-09-15 Cleversafe, Inc. Storing data in multiple formats including a dispersed storage format
US10007575B2 (en) 2010-02-27 2018-06-26 International Business Machines Corporation Alternative multiple memory format storage in a storage network
US10324791B2 (en) 2010-11-01 2019-06-18 International Business Machines Corporation Selectable parallel processing of dispersed storage error encoding
US8281182B2 (en) 2010-03-12 2012-10-02 Cleversafe, Inc. Dispersed storage unit selection
US8707091B2 (en) * 2010-03-15 2014-04-22 Cleversafe, Inc. Failsafe directory file system in a dispersed storage network
US8495466B2 (en) * 2010-03-16 2013-07-23 Cleversafe, Inc. Adjusting data dispersal in a dispersed storage network
US9229824B2 (en) 2010-03-16 2016-01-05 International Business Machines Corporation Caching rebuilt encoded data slices in a dispersed storage network
US9170884B2 (en) 2010-03-16 2015-10-27 Cleversafe, Inc. Utilizing cached encoded data slices in a dispersed storage network
US8493608B2 (en) * 2010-03-25 2013-07-23 Kyocera Document Solutions Inc. Image forming apparatus capable of managing job history, computer-readable recording medium storing job history management program code, and job history management method in the image forming apparatus
AU2011235075B2 (en) 2010-03-31 2015-10-01 Security First Corp. Systems and methods for securing data in motion
US9606858B2 (en) 2010-04-26 2017-03-28 International Business Machines Corporation Temporarily storing an encoded data slice
US9495117B2 (en) 2010-04-26 2016-11-15 International Business Machines Corporation Storing data in a dispersed storage network
US10956292B1 (en) 2010-04-26 2021-03-23 Pure Storage, Inc. Utilizing integrity information for data retrieval in a vast storage system
US8914669B2 (en) 2010-04-26 2014-12-16 Cleversafe, Inc. Secure rebuilding of an encoded data slice in a dispersed storage network
US9898373B2 (en) 2010-04-26 2018-02-20 International Business Machines Corporation Prioritizing rebuilding of stored data in a dispersed storage network
US8938552B2 (en) 2010-08-02 2015-01-20 Cleversafe, Inc. Resolving a protocol issue within a dispersed storage network
US9092386B2 (en) 2010-04-26 2015-07-28 Cleversafe, Inc. Indicating an error within a dispersed storage network
US8625635B2 (en) 2010-04-26 2014-01-07 Cleversafe, Inc. Dispersed storage network frame protocol header
US10447767B2 (en) 2010-04-26 2019-10-15 Pure Storage, Inc. Resolving a performance issue within a dispersed storage network
US11740972B1 (en) 2010-05-19 2023-08-29 Pure Storage, Inc. Migrating data in a vast storage network
US10911230B2 (en) 2010-05-19 2021-02-02 Pure Storage, Inc. Securely activating functionality of a computing device in a dispersed storage network
US8521697B2 (en) 2010-05-19 2013-08-27 Cleversafe, Inc. Rebuilding data in multiple dispersed storage networks
US10353774B2 (en) 2015-10-30 2019-07-16 International Business Machines Corporation Utilizing storage unit latency data in a dispersed storage network
US10193689B2 (en) 2010-05-19 2019-01-29 International Business Machines Corporation Storing access information in a dispersed storage network
US8874868B2 (en) 2010-05-19 2014-10-28 Cleversafe, Inc. Memory utilization balancing in a dispersed storage network
US8621580B2 (en) 2010-05-19 2013-12-31 Cleversafe, Inc. Retrieving access information in a dispersed storage network
US8601498B2 (en) 2010-05-28 2013-12-03 Security First Corp. Accelerator system for use with secure data storage
US8909858B2 (en) 2010-06-09 2014-12-09 Cleversafe, Inc. Storing encoded data slices in a dispersed storage network
US9231768B2 (en) 2010-06-22 2016-01-05 International Business Machines Corporation Utilizing a deterministic all or nothing transformation in a dispersed storage network
US8612831B2 (en) 2010-06-22 2013-12-17 Cleversafe, Inc. Accessing data stored in a dispersed storage memory
US8842746B2 (en) * 2010-08-02 2014-09-23 Cleversafe, Inc. Receiving encoded data slices via wireless communication
US10162524B2 (en) 2010-08-02 2018-12-25 International Business Machines Corporation Determining whether to compress a data segment in a dispersed storage network
US9063968B2 (en) 2010-08-02 2015-06-23 Cleversafe, Inc. Identifying a compromised encoded data slice
US20190095101A1 (en) 2010-08-02 2019-03-28 International Business Machines Corporation Authenticating a credential in a dispersed storage network
US9077734B2 (en) 2010-08-02 2015-07-07 Cleversafe, Inc. Authentication of devices of a dispersed storage network
EP2418579A1 (en) * 2010-08-06 2012-02-15 Alcatel Lucent A method of storing data, corresponding computer program product, and data storage device therefor
US10255135B2 (en) 2010-08-25 2019-04-09 International Business Machines Corporation Method and apparatus for non-interactive information dispersal
US9940195B2 (en) 2010-08-25 2018-04-10 International Business Machines Corporation Encryption of slice partials
US10157002B2 (en) 2010-08-26 2018-12-18 International Business Machines Corporation Migrating an encoded data slice based on an end-of-life memory level of a memory device
WO2012040231A2 (en) 2010-09-20 2012-03-29 Orsini Rick L Systems and methods for secure data sharing
US9571230B2 (en) 2010-10-06 2017-02-14 International Business Machines Corporation Adjusting routing of data within a network path
US9843412B2 (en) 2010-10-06 2017-12-12 International Business Machines Corporation Optimizing routing of data across a communications network
US10970168B2 (en) 2010-10-06 2021-04-06 Pure Storage, Inc. Adjusting dispersed storage error encoding parameters based on path performance
US8656138B2 (en) 2010-10-06 2014-02-18 Cleversafe, Inc. Efficiently accessing an encoded data slice utilizing a memory bin
US10298957B2 (en) 2010-10-06 2019-05-21 International Business Machines Corporation Content-based encoding in a multiple routing path communications system
US9037937B2 (en) 2010-10-06 2015-05-19 Cleversafe, Inc. Relaying data transmitted as encoded data slices
US10289318B2 (en) 2010-11-01 2019-05-14 International Business Machines Corporation Adjusting optimistic writes in a dispersed storage network
US10805042B2 (en) 2010-11-01 2020-10-13 Pure Storage, Inc. Creating transmission data slices for use in a dispersed storage network
US9015499B2 (en) 2010-11-01 2015-04-21 Cleversafe, Inc. Verifying data integrity utilizing dispersed storage
US10146645B2 (en) 2010-11-01 2018-12-04 International Business Machines Corporation Multiple memory format storage in a storage network
US10768833B2 (en) 2010-11-01 2020-09-08 Pure Storage, Inc. Object dispersal load balancing
US8707105B2 (en) 2010-11-01 2014-04-22 Cleversafe, Inc. Updating a set of memory devices in a dispersed storage network
US10082970B2 (en) 2010-11-01 2018-09-25 International Business Machines Corporation Storing an effective dynamic width of encoded data slices
US9590838B2 (en) 2010-11-09 2017-03-07 International Business Machines Corporation Transferring data of a dispersed storage network
US8627065B2 (en) 2010-11-09 2014-01-07 Cleversafe, Inc. Validating a certificate chain in a dispersed storage network
US10372350B2 (en) 2010-11-29 2019-08-06 Pure Storage, Inc. Shared ownership of namespace ranges
US9454431B2 (en) 2010-11-29 2016-09-27 International Business Machines Corporation Memory selection for slice storage in a dispersed storage network
US11789631B2 (en) 2010-11-29 2023-10-17 Pure Storage, Inc. Utilizing metadata storage trees in a vast storage network
US10922179B2 (en) 2010-11-29 2021-02-16 Pure Storage, Inc. Post rebuild verification
US11307930B1 (en) 2010-11-29 2022-04-19 Pure Storage, Inc. Optimized selection of participants in distributed data rebuild/verification
US9483398B2 (en) 2010-11-29 2016-11-01 International Business Machines Corporation Partitioning data for storage in a dispersed storage network
US10802763B2 (en) 2010-11-29 2020-10-13 Pure Storage, Inc. Remote storage verification
US9589254B2 (en) 2010-12-08 2017-03-07 Microsoft Technology Licensing, Llc Using e-mail message characteristics for prioritization
IL210169A0 (en) * 2010-12-22 2011-03-31 Yehuda Binder System and method for routing-based internet security
US9170882B2 (en) 2010-12-22 2015-10-27 Cleversafe, Inc. Retrieving data segments from a dispersed storage network
US8897443B2 (en) 2010-12-27 2014-11-25 Cleversafe, Inc. Watermarking slices stored in a dispersed storage network
EP2993585B1 (en) 2010-12-27 2017-06-28 Amplidata NV Distributed object storage system comprising performance optimizations
US8726127B2 (en) 2011-02-01 2014-05-13 Cleversafe, Inc. Utilizing a dispersed storage network access token module to access a dispersed storage network memory
US8694752B2 (en) 2011-02-01 2014-04-08 Cleversafe, Inc. Transferring data in response to detection of a memory system imbalance
US8868695B2 (en) 2011-03-02 2014-10-21 Cleversafe, Inc. Configuring a generic computing device utilizing specific computing device operation information
US20120226855A1 (en) 2011-03-02 2012-09-06 Cleversafe, Inc. Sharing a directory of a dispersed storage network
US10298684B2 (en) 2011-04-01 2019-05-21 International Business Machines Corporation Adaptive replication of dispersed data to improve data access performance
US11418580B2 (en) 2011-04-01 2022-08-16 Pure Storage, Inc. Selective generation of secure signatures in a distributed storage network
US8627091B2 (en) 2011-04-01 2014-01-07 Cleversafe, Inc. Generating a secure signature utilizing a plurality of key shares
US8880978B2 (en) 2011-04-01 2014-11-04 Cleversafe, Inc. Utilizing a local area network memory and a dispersed storage network memory to access data
US9298550B2 (en) 2011-05-09 2016-03-29 Cleversafe, Inc. Assigning a dispersed storage network address range in a maintenance free storage container
US20170192684A1 (en) 2011-05-09 2017-07-06 International Business Machines Corporation Auditing a transaction in a dispersed storage network
US9141458B2 (en) 2011-05-09 2015-09-22 Cleversafe, Inc. Adjusting a data storage address mapping in a maintenance free storage container
US9219604B2 (en) 2011-05-09 2015-12-22 Cleversafe, Inc. Generating an encrypted message for storage
US8707393B2 (en) 2011-05-09 2014-04-22 Cleversafe, Inc. Providing dispersed storage network location information of a hypertext markup language file
US8756480B2 (en) 2011-06-06 2014-06-17 Cleversafe, Inc. Prioritized deleting of slices stored in a dispersed storage network
US10061650B2 (en) 2011-06-06 2018-08-28 International Business Machines Corporation Priority based rebuilding
US10042709B2 (en) 2011-06-06 2018-08-07 International Business Machines Corporation Rebuild prioritization during a plurality of concurrent data object write operations
US8656253B2 (en) 2011-06-06 2014-02-18 Cleversafe, Inc. Storing portions of data in a dispersed storage network
US10949301B2 (en) * 2011-06-06 2021-03-16 Pure Storage, Inc. Pre-positioning pre-stored content in a content distribution system
US8762770B2 (en) * 2011-07-06 2014-06-24 Cleversafe, Inc. Distribution of a customized preview of multi-media content
US9244770B2 (en) 2011-07-06 2016-01-26 International Business Machines Corporation Responding to a maintenance free storage container security threat
US11016702B2 (en) 2011-07-27 2021-05-25 Pure Storage, Inc. Hierarchical event tree
US8914667B2 (en) 2011-07-27 2014-12-16 Cleversafe, Inc. Identifying a slice error in a dispersed storage network
US10678619B2 (en) 2011-07-27 2020-06-09 Pure Storage, Inc. Unified logs and device statistics
US9971802B2 (en) 2011-08-17 2018-05-15 International Business Machines Corporation Audit record transformation in a dispersed storage network
US10454678B2 (en) 2011-08-17 2019-10-22 Pure Storage, Inc. Accesor-based audit trails
US10120756B2 (en) 2011-08-17 2018-11-06 International Business Machines Corporation Audit object generation in a dispersed storage network
US9092385B2 (en) 2011-08-17 2015-07-28 Cleversafe, Inc. Facilitating access of a dispersed storage network
US20190179696A1 (en) 2011-09-06 2019-06-13 International Business Machines Corporation Demultiplexing decoded data streams in a distributed storage network
US11907060B2 (en) 2011-09-06 2024-02-20 Pure Storage, Inc. Coding of data streams in a vast storage network
US10235237B2 (en) 2011-09-06 2019-03-19 Intertnational Business Machines Corporation Decoding data streams in a distributed storage network
US8751894B2 (en) 2011-09-06 2014-06-10 Cleversafe, Inc. Concurrent decoding of data streams
US9785491B2 (en) 2011-10-04 2017-10-10 International Business Machines Corporation Processing a certificate signing request in a dispersed storage network
US8677214B2 (en) 2011-10-04 2014-03-18 Cleversafe, Inc. Encoding data utilizing a zero information gain function
US8555130B2 (en) 2011-10-04 2013-10-08 Cleversafe, Inc. Storing encoded data slices in a dispersed storage unit
US10365969B2 (en) 2011-11-01 2019-07-30 International Business Machines Corporation Multiple wireless communication systems stream slices based on geography
US9798616B2 (en) 2011-11-01 2017-10-24 International Business Machines Corporation Wireless sending a set of encoded data slices
US8607122B2 (en) 2011-11-01 2013-12-10 Cleversafe, Inc. Accessing a large data object in a dispersed storage network
US10437678B2 (en) 2011-11-01 2019-10-08 Pure Storage, Inc. Updating an encoded data slice
US10496500B2 (en) 2011-11-01 2019-12-03 Pure Storage, Inc. Preemptively reading extra encoded data slices
US11329830B1 (en) 2011-11-01 2022-05-10 Pure Storage, Inc. Dispersed credentials
US8627066B2 (en) 2011-11-03 2014-01-07 Cleversafe, Inc. Processing a dispersed storage network access request utilizing certificate chain validation information
US11474958B1 (en) 2011-11-28 2022-10-18 Pure Storage, Inc. Generating and queuing system messages with priorities in a storage network
US8848906B2 (en) 2011-11-28 2014-09-30 Cleversafe, Inc. Encrypting data for storage in a dispersed storage network
US10558592B2 (en) 2011-11-28 2020-02-11 Pure Storage, Inc. Priority level adaptation in a dispersed storage network
US10469578B2 (en) 2011-11-28 2019-11-05 Pure Storage, Inc. Prioritization of messages of a dispersed storage network
US10318445B2 (en) 2011-11-28 2019-06-11 International Business Machines Corporation Priority level adaptation in a dispersed storage network
US10977194B2 (en) 2011-11-28 2021-04-13 Pure Storage, Inc. Securely storing random keys in a dispersed storage network
US10055283B2 (en) 2011-11-28 2018-08-21 International Business Machines Corporation Securely distributing random keys in a dispersed storage network
US10387071B2 (en) 2011-11-28 2019-08-20 Pure Storage, Inc. On-the-fly cancellation of unnecessary read requests
US9584359B2 (en) 2011-12-12 2017-02-28 International Business Machines Corporation Distributed storage and computing of interim data
US10348640B2 (en) 2011-12-12 2019-07-09 International Business Machines Corporation Partial task execution in a dispersed storage network
US20130238900A1 (en) 2011-12-12 2013-09-12 Cleversafe, Inc. Dispersed storage network secure hierarchical file directory
US9009567B2 (en) 2011-12-12 2015-04-14 Cleversafe, Inc. Encrypting distributed computing data
US9430286B2 (en) 2011-12-12 2016-08-30 International Business Machines Corporation Authorizing distributed task processing in a distributed storage network
US10176045B2 (en) 2011-12-12 2019-01-08 International Business Machines Corporation Internet based shared memory in a distributed computing system
US9674155B2 (en) 2011-12-12 2017-06-06 International Business Machines Corporation Encrypting segmented data in a distributed computing system
WO2013089977A1 (en) * 2011-12-12 2013-06-20 Motorola Solutions, Inc. Communicating large presence documents
US10346218B2 (en) 2011-12-12 2019-07-09 International Business Machines Corporation Partial task allocation in a dispersed storage network
US10104168B2 (en) 2011-12-12 2018-10-16 International Business Machines Corporation Method for managing throughput in a distributed storage network
US9817701B2 (en) 2011-12-12 2017-11-14 International Business Machines Corporation Threshold computing in a distributed computing system
US10146621B2 (en) 2011-12-12 2018-12-04 International Business Machines Corporation Chaining computes in a distributed computing system
US10666596B2 (en) 2011-12-12 2020-05-26 Pure Storage, Inc. Messaging via a shared memory of a distributed computing system
US20180083930A1 (en) 2011-12-12 2018-03-22 International Business Machines Corporation Reads for dispersed computation jobs
US9304857B2 (en) 2011-12-12 2016-04-05 Cleversafe, Inc. Retrieving data from a distributed storage network
US9141468B2 (en) 2011-12-12 2015-09-22 Cleversafe, Inc. Managing memory utilization in a distributed storage and task network
US10360106B2 (en) 2011-12-12 2019-07-23 International Business Machines Corporation Throttled real-time writes
US9465861B2 (en) * 2012-01-31 2016-10-11 International Business Machines Corporation Retrieving indexed data from a dispersed storage network
US9891995B2 (en) * 2012-01-31 2018-02-13 International Business Machines Corporation Cooperative decentralized rebuild scanning
US10140177B2 (en) 2012-01-31 2018-11-27 International Business Machines Corporation Transferring a partial task in a distributed computing system
US9507786B2 (en) * 2012-01-31 2016-11-29 International Business Machines Corporation Retrieving data utilizing a distributed index
US10671585B2 (en) 2012-01-31 2020-06-02 Pure Storage, Inc. Storing indexed data to a dispersed storage network
US9146810B2 (en) 2012-01-31 2015-09-29 Cleversafe, Inc. Identifying a potentially compromised encoded data slice
US9588994B2 (en) 2012-03-02 2017-03-07 International Business Machines Corporation Transferring task execution in a distributed storage and task network
US10402393B2 (en) 2012-03-02 2019-09-03 Pure Storage, Inc. Slice migration in a dispersed storage network
US10013444B2 (en) 2012-03-02 2018-07-03 International Business Machines Corporation Modifying an index node of a hierarchical dispersed storage index
US10157051B2 (en) 2012-03-02 2018-12-18 International Business Machines Corporation Upgrading devices in a dispersed storage network
US11232093B2 (en) 2012-03-02 2022-01-25 Pure Storage, Inc. Slice migration in a dispersed storage network
US10795766B2 (en) 2012-04-25 2020-10-06 Pure Storage, Inc. Mapping slice groupings in a dispersed storage network
US9380032B2 (en) 2012-04-25 2016-06-28 International Business Machines Corporation Encrypting data for storage in a dispersed storage network
US10621044B2 (en) 2012-04-25 2020-04-14 Pure Storage, Inc. Mapping slice groupings in a dispersed storage network
US10447471B2 (en) 2012-06-05 2019-10-15 Pure Storage, Inc. Systematic secret sharing
US9613052B2 (en) 2012-06-05 2017-04-04 International Business Machines Corporation Establishing trust within a cloud computing system
US10474395B2 (en) 2012-06-05 2019-11-12 Pure Storage, Inc. Abstracting namespace mapping in a dispersed storage network through multiple hierarchies
US10073638B2 (en) 2012-06-05 2018-09-11 International Business Machines Corporation Automatic namespace ordering determination
US10002047B2 (en) 2012-06-05 2018-06-19 International Business Machines Corporation Read-if-not-revision-equals protocol message
US9164841B2 (en) 2012-06-05 2015-10-20 Cleversafe, Inc. Resolution of a storage error in a dispersed storage network
US20150156817A1 (en) * 2012-06-07 2015-06-04 Cell Buddy Network Ltd. Mobile hot spot
US10120574B2 (en) 2012-06-25 2018-11-06 International Business Machines Corporation Reversible data modifications within DS units
US10157011B2 (en) 2012-06-25 2018-12-18 International Business Machines Corporation Temporary suspension of vault access
US20180336097A1 (en) 2012-06-25 2018-11-22 International Business Machines Corporation Namespace affinity and failover for processing units in a dispersed storage network
US8935761B2 (en) 2012-06-25 2015-01-13 Cleversafe, Inc. Accessing storage nodes in an on-line media storage system
US10430276B2 (en) 2012-06-25 2019-10-01 Pure Storage, Inc. Optimal orderings of processing unit priorities in a dispersed storage network
US11093327B1 (en) 2012-06-25 2021-08-17 Pure Storage, Inc. Failure abatement approach for failed storage units common to multiple vaults
US9141297B2 (en) 2012-06-25 2015-09-22 Cleversafe, Inc. Verifying encoded data slice integrity in a dispersed storage network
US10114697B2 (en) 2012-06-25 2018-10-30 International Business Machines Corporation Large object parallel writing
US10651975B2 (en) 2012-08-02 2020-05-12 Pure Storage, Inc. Forwarding data amongst cooperative DSTN processing units of a massive data ingestion system
US9258177B2 (en) 2012-08-02 2016-02-09 International Business Machines Corporation Storing a data stream in a set of storage devices
US10241863B2 (en) 2012-08-31 2019-03-26 International Business Machines Corporation Slice rebuilding in a dispersed storage network
US10409679B2 (en) 2012-08-31 2019-09-10 Pure Storage, Inc. Migrating data slices in a dispersed storage network
US10409678B2 (en) 2012-08-31 2019-09-10 Pure Storage, Inc. Self-optimizing read-ahead
US9176822B2 (en) 2012-08-31 2015-11-03 Cleversafe, Inc. Adjusting dispersed storage error encoding parameters
US11360851B2 (en) 2012-08-31 2022-06-14 Pure Storage, Inc. Duplicating authentication information between connections
US10331518B2 (en) 2012-08-31 2019-06-25 International Business Machines Corporation Encoding data in a dispersed storage network
US9875158B2 (en) 2012-08-31 2018-01-23 International Business Machines Corporation Slice storage in a dispersed storage network
US10318549B2 (en) 2012-09-13 2019-06-11 International Business Machines Corporation Batching modifications to nodes in a dispersed index
US10057351B2 (en) 2012-09-13 2018-08-21 International Business Machines Corporation Modifying information dispersal algorithm configurations in a dispersed storage network
US9424326B2 (en) 2012-09-13 2016-08-23 International Business Machines Corporation Writing data avoiding write conflicts in a dispersed storage network
US10417253B2 (en) 2012-09-13 2019-09-17 Pure Storage, Inc. Multi-level data storage in a dispersed storage network
US10331698B2 (en) 2012-09-13 2019-06-25 International Business Machines Corporation Rebuilding data in a dispersed storage network
US10402423B2 (en) 2012-09-13 2019-09-03 Pure Storage, Inc. Sliding windows for batching index updates
US9648087B2 (en) 2012-10-08 2017-05-09 International Business Machines Corporation Allocating distributed storage and task execution resources
US10127111B2 (en) 2012-10-08 2018-11-13 International Business Machines Corporation Client provided request prioritization hints
US10606700B2 (en) 2012-10-08 2020-03-31 Pure Storage, Inc. Enhanced dispersed storage error encoding using multiple encoding layers
US10331519B2 (en) 2012-10-08 2019-06-25 International Business Machines Corporation Application of secret sharing schemes at multiple levels of a dispersed storage network
US9311179B2 (en) 2012-10-30 2016-04-12 Cleversafe, Inc. Threshold decoding of data based on trust levels
US9794337B2 (en) 2012-10-30 2017-10-17 International Business Machines Corporation Balancing storage node utilization of a dispersed storage network
US9521197B2 (en) 2012-12-05 2016-12-13 International Business Machines Corporation Utilizing data object storage tracking in a dispersed storage network
US9811533B2 (en) 2012-12-05 2017-11-07 International Business Machines Corporation Accessing distributed computing functions in a distributed computing system
US10558621B2 (en) * 2012-12-05 2020-02-11 Pure Storage, Inc. Lock stealing writes for improved reliability
US10587691B2 (en) 2012-12-05 2020-03-10 Pure Storage, Inc. Impatient writes
US10423491B2 (en) 2013-01-04 2019-09-24 Pure Storage, Inc. Preventing multiple round trips when writing to target widths
US10204009B2 (en) 2013-01-04 2019-02-12 International Business Machines Corporation Prioritized rebuilds using dispersed indices
US9311187B2 (en) 2013-01-04 2016-04-12 Cleversafe, Inc. Achieving storage compliance in a dispersed storage network
US10229002B2 (en) 2013-01-04 2019-03-12 International Business Machines Corporation Process to migrate named objects to a dispersed or distributed storage network (DSN)
US10241866B2 (en) 2013-01-04 2019-03-26 International Business Machines Corporation Allocating rebuilding queue entries in a dispersed storage network
US9558067B2 (en) 2013-01-04 2017-01-31 International Business Machines Corporation Mapping storage of data in a dispersed storage network
US10402270B2 (en) 2013-01-04 2019-09-03 Pure Storage, Inc. Deterministically determining affinity for a source name range
US10013203B2 (en) 2013-01-04 2018-07-03 International Business Machines Corporation Achieving storage compliance in a dispersed storage network
US11416340B1 (en) 2013-01-04 2022-08-16 Pure Storage, Inc. Storage system with multiple storage types in a vast storage network
US20190250823A1 (en) 2013-01-04 2019-08-15 International Business Machines Corporation Efficient computation of only the required slices
US10642992B2 (en) 2013-01-04 2020-05-05 Pure Storage, Inc. Password augmented all-or-nothin transform
CN103916448B (en) * 2013-01-09 2018-05-18 深圳市腾讯计算机系统有限公司 Data transmission method, system and corresponding cloud transmission platform based on cloud transmission platform
US10621021B2 (en) 2013-02-05 2020-04-14 Pure Storage, Inc. Using dispersed data structures to point to slice or date source replicas
US10430122B2 (en) 2013-02-05 2019-10-01 Pure Storage, Inc. Using partial rebuilding to change information dispersal algorithm (IDA)
US9043499B2 (en) 2013-02-05 2015-05-26 Cleversafe, Inc. Modifying a dispersed storage network memory data access response plan
US10664360B2 (en) 2013-02-05 2020-05-26 Pure Storage, Inc. Identifying additional resources to accelerate rebuildling
US10310763B2 (en) 2013-02-05 2019-06-04 International Business Machines Corporation Forming a distributed storage network memory without namespace aware distributed storage units
US10268554B2 (en) 2013-02-05 2019-04-23 International Business Machines Corporation Using dispersed computation to change dispersal characteristics
US10055441B2 (en) 2013-02-05 2018-08-21 International Business Machines Corporation Updating shared group information in a dispersed storage network
EP2956887A1 (en) 2013-02-13 2015-12-23 Security First Corp. Systems and methods for a cryptographic file system layer
US11036392B2 (en) 2013-02-26 2021-06-15 Pure Storage, Inc. Determining when to use convergent encryption
US9274908B2 (en) 2013-02-26 2016-03-01 International Business Machines Corporation Resolving write conflicts in a dispersed storage network
US10642489B2 (en) 2013-02-26 2020-05-05 Pure Storage, Inc. Determining when to initiate an intra-distributed storage unit rebuild vs. an inter-distributed storage unit rebuild
US10075523B2 (en) 2013-04-01 2018-09-11 International Business Machines Corporation Efficient storage of data in a dispersed storage network
US9405926B2 (en) 2014-06-30 2016-08-02 Paul Lewis Systems and methods for jurisdiction independent data storage in a multi-vendor cloud environment
US10984116B2 (en) 2013-04-15 2021-04-20 Calamu Technologies Corporation Systems and methods for digital currency or crypto currency storage in a multi-vendor cloud environment
US10043017B2 (en) * 2013-04-15 2018-08-07 Paul Lewis Systems and methods for jurisdiction independent data storage in a multi-vendor cloud environment
US9456035B2 (en) 2013-05-03 2016-09-27 International Business Machines Corporation Storing related data in a dispersed storage network
US10223213B2 (en) 2013-05-03 2019-03-05 International Business Machines Corporation Salted zero expansion all or nothing transformation
US9667530B2 (en) 2013-05-06 2017-05-30 International Business Machines Corporation Privacy preserving query method and system for use in federated coalition networks
US9405609B2 (en) 2013-05-22 2016-08-02 International Business Machines Corporation Storing data in accordance with a performance threshold
US9424132B2 (en) 2013-05-30 2016-08-23 International Business Machines Corporation Adjusting dispersed storage network traffic due to rebuilding
US9432341B2 (en) 2013-05-30 2016-08-30 International Business Machines Corporation Securing data in a dispersed storage network
US11226860B1 (en) 2013-05-30 2022-01-18 Pure Storage, Inc. Difference based rebuild list scanning
US9730271B2 (en) * 2013-06-03 2017-08-08 Avago Technologies General Ip (Singapore) Pte. Ltd. Systems and methods for splitting and recombining communications in multi-network environments
US9652470B2 (en) 2013-07-01 2017-05-16 International Business Machines Corporation Storing data in a dispersed storage network
US11221916B2 (en) 2013-07-01 2022-01-11 Pure Storage, Inc. Prioritized data reconstruction in a dispersed storage network
US10169369B2 (en) 2013-07-01 2019-01-01 International Business Machines Corporation Meeting storage requirements with limited storage resources
US10133635B2 (en) 2013-07-01 2018-11-20 International Business Machines Corporation Low-width vault in distributed storage system
US9501360B2 (en) 2013-07-01 2016-11-22 International Business Machines Corporation Rebuilding data while reading data in a dispersed storage network
US10681134B2 (en) 2013-07-31 2020-06-09 Pure Storage, Inc. Accelerated learning in adaptive rebuilding by applying observations to other samples
US20150039660A1 (en) 2013-07-31 2015-02-05 Cleversafe, Inc. Co-locate objects request
US20180188964A1 (en) 2013-07-31 2018-07-05 International Business Machines Corporation Managed storage unit shutdown in a distributed storage network
US9565252B2 (en) 2013-07-31 2017-02-07 International Business Machines Corporation Distributed storage network with replication control and methods for use therewith
US10180880B2 (en) 2013-07-31 2019-01-15 International Business Machines Corporation Adaptive rebuilding rates based on sampling and inference
US9241044B2 (en) 2013-08-28 2016-01-19 Hola Networks, Ltd. System and method for improving internet communication by using intermediate nodes
US9438675B2 (en) 2013-08-29 2016-09-06 International Business Machines Corporation Dispersed storage with variable slice length and methods for use therewith
US10489071B2 (en) 2013-08-29 2019-11-26 Pure Storage, Inc. Vault provisioning within dispersed or distributed storage network (DSN)
US10484474B2 (en) 2013-08-29 2019-11-19 Pure Storage, Inc. Rotating offline DS units
US10514857B2 (en) 2013-08-29 2019-12-24 Pure Storage, Inc. Dynamic adjusting of parameters based on resource scoring
US9661074B2 (en) 2013-08-29 2017-05-23 International Business Machines Corporations Updating de-duplication tracking data for a dispersed storage network
US10601918B2 (en) 2013-08-29 2020-03-24 Pure Storage, Inc. Rotating inactive storage units in a distributed storage network
US20180039421A1 (en) * 2013-10-03 2018-02-08 International Business Machines Corporation Method for collecting scheduler-relevant information for a task moving through the system
US9857974B2 (en) 2013-10-03 2018-01-02 International Business Machines Corporation Session execution decision
GB2519119A (en) * 2013-10-10 2015-04-15 Ibm Linear network coding in a dynamic distributed federated database
US9781208B2 (en) * 2013-11-01 2017-10-03 International Business Machines Corporation Obtaining dispersed storage network system registry information
US10182115B2 (en) 2013-11-01 2019-01-15 International Business Machines Corporation Changing rebuild priority for a class of data
US10304096B2 (en) 2013-11-01 2019-05-28 International Business Machines Corporation Renting a pipe to a storage system
US20150149528A1 (en) * 2013-11-25 2015-05-28 At&T Intellectual Property I, L.P. Methods, Systems and Apparatus to Determine a Distributed Content Share Storage Scheme
US9154471B2 (en) * 2013-11-26 2015-10-06 At&T Intellectual Property I, L.P. Method and apparatus for unified encrypted messaging
US9900316B2 (en) 2013-12-04 2018-02-20 International Business Machines Corporation Accessing storage units of a dispersed storage network
US9594639B2 (en) 2014-01-06 2017-03-14 International Business Machines Corporation Configuring storage resources of a dispersed storage network
US11340993B2 (en) 2014-01-06 2022-05-24 Pure Storage, Inc. Deferred rebuilding with alternate storage locations
US10922181B2 (en) 2014-01-06 2021-02-16 Pure Storage, Inc. Using storage locations greater than an IDA width in a dispersed storage network
US11204836B1 (en) 2014-01-31 2021-12-21 Pure Storage, Inc. Using trap slices for anomaly detection in a distributed storage network
US9778987B2 (en) 2014-01-31 2017-10-03 International Business Machines Corporation Writing encoded data slices in a dispersed storage network
US10318382B2 (en) 2014-01-31 2019-06-11 International Business Machines Corporation Determining missing encoded data slices
US9552261B2 (en) 2014-01-31 2017-01-24 International Business Machines Corporation Recovering data from microslices in a dispersed storage network
US9529834B2 (en) 2014-02-26 2016-12-27 International Business Machines Corporation Concatenating data objects for storage in a dispersed storage network
US10769016B2 (en) 2014-02-26 2020-09-08 Pure Storage, Inc. Storing a plurality of correlated data in a dispersed storage network
US10592109B2 (en) 2014-02-26 2020-03-17 Pure Storage, Inc. Selecting storage resources in a dispersed storage network
US10635312B2 (en) 2014-02-26 2020-04-28 Pure Storage, Inc. Recovering data in a dispersed storage network
US10140182B2 (en) 2014-02-26 2018-11-27 International Business Machines Corporation Modifying allocation of storage resources in a dispersed storage network
US10678638B2 (en) 2014-02-26 2020-06-09 Pure Storage, Inc. Resolving write conflicts in a dispersed storage network
US9665429B2 (en) 2014-02-26 2017-05-30 International Business Machines Corporation Storage of data with verification in a dispersed storage network
US10628245B2 (en) 2014-04-02 2020-04-21 Pure Storage, Inc. Monitoring of storage units in a dispersed storage network
US10681138B2 (en) 2014-04-02 2020-06-09 Pure Storage, Inc. Storing and retrieving multi-format content in a distributed storage network
US11347590B1 (en) 2014-04-02 2022-05-31 Pure Storage, Inc. Rebuilding data in a distributed storage network
US20190087599A1 (en) 2014-04-02 2019-03-21 International Business Machines Corporation Compressing a slice name listing in a dispersed storage network
US20150288680A1 (en) 2014-04-02 2015-10-08 Cleversafe, Inc. Distributing registry information in a dispersed storage network
US10020826B2 (en) 2014-04-02 2018-07-10 International Business Machines Corporation Generating molecular encoding information for data storage
US10761917B2 (en) 2014-04-02 2020-09-01 Pure Storage, Inc. Using global namespace addressing in a dispersed storage network
US10015152B2 (en) 2014-04-02 2018-07-03 International Business Machines Corporation Securing data in a dispersed storage network
US10394476B2 (en) 2014-04-30 2019-08-27 Pure Storage, Inc. Multi-level stage locality selection on a large system
US9735967B2 (en) 2014-04-30 2017-08-15 International Business Machines Corporation Self-validating request message structure and operation
US10296263B2 (en) 2014-04-30 2019-05-21 International Business Machines Corporation Dispersed bloom filter for determining presence of an object
US9965336B2 (en) 2014-04-30 2018-05-08 International Business Machines Corporation Delegating iterative storage unit access in a dispersed storage network
US10802732B2 (en) 2014-04-30 2020-10-13 Pure Storage, Inc. Multi-level stage locality selection on a large system
US9652621B2 (en) * 2014-05-15 2017-05-16 Michael E. Johnson Electronic transmission security process
US10152601B2 (en) 2014-06-05 2018-12-11 International Business Machines Corporation Reliably recovering stored data in a dispersed storage network
US10509577B2 (en) 2014-06-05 2019-12-17 Pure Storage, Inc. Reliable storage in a dispersed storage network
US20170164263A1 (en) * 2014-06-13 2017-06-08 Telefonaktiebolaget Lm Ericsson (Publ) Routing And Transmission In Mesh Networks
US9923838B2 (en) 2014-06-30 2018-03-20 International Business Machines Corporation Accessing a dispersed storage network
US10440105B2 (en) 2014-06-30 2019-10-08 Pure Storage, Inc. Using a decentralized agreement protocol to rank storage locations for target width
US10673946B2 (en) 2014-06-30 2020-06-02 Pure Storage, Inc. Using separate weighting scores for different types of data in a decentralized agreement protocol
US11099763B1 (en) 2014-06-30 2021-08-24 Pure Storage, Inc. Migrating generational storage to a decentralized agreement protocol paradigm
US9838478B2 (en) 2014-06-30 2017-12-05 International Business Machines Corporation Identifying a task execution resource of a dispersed storage network
US9841925B2 (en) 2014-06-30 2017-12-12 International Business Machines Corporation Adjusting timing of storing data in a dispersed storage network
US11606431B2 (en) 2014-06-30 2023-03-14 Pure Storage, Inc. Maintaining failure independence for storage of a set of encoded data slices
US10459797B2 (en) 2014-06-30 2019-10-29 Pure Storage, Inc. Making trade-offs between rebuild scanning and failing memory device flexibility
US11398988B1 (en) 2014-06-30 2022-07-26 Pure Storage, Inc. Selection of access resources in a distributed storage network
US9690520B2 (en) 2014-06-30 2017-06-27 International Business Machines Corporation Recovering an encoded data slice in a dispersed storage network
US10042564B2 (en) 2014-06-30 2018-08-07 International Business Machines Corporation Accessing data while migrating storage of the data
US11728964B2 (en) 2014-07-31 2023-08-15 Pure Storage, Inc. Performance aided data migration in a distributed storage network
US10089036B2 (en) 2014-07-31 2018-10-02 International Business Machines Corporation Migrating data in a distributed storage network
US10644874B2 (en) 2014-07-31 2020-05-05 Pure Storage, Inc. Limiting brute force attacks against dispersed credentials in a distributed storage system
US10613936B2 (en) 2014-07-31 2020-04-07 Pure Storage, Inc. Fractional slices in a distributed storage system
US11442921B1 (en) 2014-09-05 2022-09-13 Pure Storage, Inc. Data access in a dispersed storage network with consistency
US10049120B2 (en) 2014-09-05 2018-08-14 International Business Machines Corporation Consistency based access of data in a dispersed storage network
US10176191B2 (en) 2014-09-05 2019-01-08 International Business Machines Corporation Recovering from conflicts that emerge from eventually consistent operations
US10402395B2 (en) 2014-09-05 2019-09-03 Pure Storage, Inc. Facilitating data consistency in a dispersed storage network
US9591076B2 (en) 2014-09-08 2017-03-07 International Business Machines Corporation Maintaining a desired number of storage units
US10268545B2 (en) 2014-09-08 2019-04-23 International Business Machines Corporation Using reinforcement learning to select a DS processing unit
US10146622B2 (en) 2014-09-08 2018-12-04 International Business Machines Corporation Combining deduplication with locality for efficient and fast storage
EP3637945B1 (en) * 2014-09-30 2021-07-21 ARRIS Enterprises LLC Technique for establishing a mesh network
US10459792B2 (en) * 2014-10-29 2019-10-29 Pure Storage, Inc. Using an eventually consistent dispersed memory to implement storage tiers
US20180113747A1 (en) * 2014-10-29 2018-04-26 International Business Machines Corporation Overdrive mode for distributed storage networks
US10481833B2 (en) 2014-10-29 2019-11-19 Pure Storage, Inc. Transferring data encoding functions in a distributed storage network
US20180181332A1 (en) * 2014-10-29 2018-06-28 International Business Machines Corporation Expanding a dispersed storage network memory beyond two locations
US9916114B2 (en) * 2014-10-29 2018-03-13 International Business Machines Corporation Deterministically sharing a plurality of processing resources
US10282135B2 (en) * 2014-10-29 2019-05-07 International Business Machines Corporation Strong consistency write threshold
US10223033B2 (en) * 2014-10-29 2019-03-05 International Business Machines Corporation Coordinating arrival times of data slices in a dispersed storage network
US10095582B2 (en) * 2014-10-29 2018-10-09 International Business Machines Corporation Partial rebuilding techniques in a dispersed storage unit
US20180101457A1 (en) * 2014-10-29 2018-04-12 International Business Machines Corporation Retrying failed write operations in a dispersed storage network
WO2016080569A1 (en) * 2014-11-19 2016-05-26 서울대학교산학협력단 File management apparatus for restoring original file from predetermined number or more of file fragments, and file management method therefor
WO2016081942A2 (en) 2014-11-21 2016-05-26 Security First Corp. Gateway for cloud-based secure storage
US10402271B2 (en) 2014-12-02 2019-09-03 Pure Storage, Inc. Overcoming bottlenecks in zero information gain (ZIG) rebuild operations
US10120739B2 (en) 2014-12-02 2018-11-06 International Business Machines Corporation Prioritized data rebuilding in a dispersed storage network
US10558527B2 (en) 2014-12-02 2020-02-11 Pure Storage, Inc. Rebuilding strategy in memory managed multi-site duplication
US10503592B2 (en) 2014-12-02 2019-12-10 Pure Storage, Inc. Overcoming bottlenecks in partial and traditional rebuild operations
US10521298B2 (en) 2014-12-02 2019-12-31 Pure Storage, Inc. Temporarily storing dropped and rebuilt slices in a DSN memory
US10481832B2 (en) 2014-12-02 2019-11-19 Pure Storage, Inc. Applying a probability function to avoid storage operations for already-deleted data
US9727275B2 (en) 2014-12-02 2017-08-08 International Business Machines Corporation Coordinating storage of data in dispersed storage networks
US10656866B2 (en) 2014-12-31 2020-05-19 Pure Storage, Inc. Unidirectional vault synchronization to support tiering
US10387252B2 (en) 2014-12-31 2019-08-20 Pure Storage, Inc. Synchronously storing data in a plurality of dispersed storage networks
US9727427B2 (en) 2014-12-31 2017-08-08 International Business Machines Corporation Synchronizing storage of data copies in a dispersed storage network
US11604707B2 (en) 2014-12-31 2023-03-14 Pure Storage, Inc. Handling failures when synchronizing objects during a write operation
US10126974B2 (en) 2014-12-31 2018-11-13 International Business Machines Corporation Redistributing encoded data slices in a dispersed storage network
US10621042B2 (en) 2014-12-31 2020-04-14 Pure Storage, Inc. Vault transformation within a dispersed storage network
US10489247B2 (en) 2014-12-31 2019-11-26 Pure Storage, Inc. Generating time-ordered globally unique revision numbers
US10623495B2 (en) 2014-12-31 2020-04-14 Pure Storage, Inc. Keeping synchronized writes from getting out of synch
US10452317B2 (en) 2014-12-31 2019-10-22 Pure Storage, Inc. DAP redistribution operation within a dispersed storage network
US10423359B2 (en) 2014-12-31 2019-09-24 Pure Storage, Inc. Linking common attributes among a set of synchronized vaults
US10642687B2 (en) 2014-12-31 2020-05-05 Pure Storage, Inc. Pessimistic reads and other smart-read enhancements with synchronized vaults
US10498823B2 (en) 2015-01-30 2019-12-03 Pure Storage, Inc. Optimally apportioning rebuilding resources
US10511665B2 (en) 2015-01-30 2019-12-17 Pure Storage, Inc. Efficient resource reclamation after deletion of slice from common file
US10289342B2 (en) 2015-01-30 2019-05-14 International Business Machines Corporation Data access optimization protocol in a dispersed storage network
US10740180B2 (en) 2015-01-30 2020-08-11 Pure Storage, Inc. Storing and retrieving data using proxies
US10423490B2 (en) 2015-01-30 2019-09-24 Pure Storage, Inc. Read-source requests to support bundled writes in a distributed storage system
US10440116B2 (en) 2015-01-30 2019-10-08 Pure Storage, Inc. Minimizing data movement through rotation of spare memory devices
US10802915B2 (en) 2015-01-30 2020-10-13 Pure Storage, Inc. Time based storage of encoded data slices
US10594793B2 (en) 2015-01-30 2020-03-17 Pure Storage, Inc. Read-prepare requests to multiple memories
US10498822B2 (en) 2015-01-30 2019-12-03 Pure Storage, Inc. Adaptive scanning rates
US10530862B2 (en) 2015-01-30 2020-01-07 Pure Storage, Inc. Determining slices to rebuild from low-level failures
US9826038B2 (en) 2015-01-30 2017-11-21 International Business Machines Corporation Selecting a data storage resource of a dispersed storage network
US10620878B2 (en) 2015-01-30 2020-04-14 Pure Storage, Inc. Write threshold plus value in dispersed storage network write operations
US10169123B2 (en) 2015-01-30 2019-01-01 International Business Machines Corporation Distributed data rebuilding
US10506045B2 (en) 2015-01-30 2019-12-10 Pure Storage, Inc. Memory access using deterministic function and secure seed
US9740547B2 (en) 2015-01-30 2017-08-22 International Business Machines Corporation Storing data using a dual path storage approach
US10592132B2 (en) 2015-01-30 2020-03-17 Pure Storage, Inc. Read-foreign-slices request for improved read efficiency with bundled writes
US10579451B2 (en) 2015-02-27 2020-03-03 Pure Storage, Inc. Pro-actively preparing a dispersed storage network memory for higher-loads
US10404410B2 (en) 2015-02-27 2019-09-03 Pure Storage, Inc. Storage unit (SU) report cards
US10534668B2 (en) 2015-02-27 2020-01-14 Pure Storage, Inc. Accessing data in a dispersed storage network
US10437677B2 (en) 2015-02-27 2019-10-08 Pure Storage, Inc. Optimized distributed rebuilding within a dispersed storage network
US10078472B2 (en) 2015-02-27 2018-09-18 International Business Machines Corporation Rebuilding encoded data slices in a dispersed storage network
US10440115B2 (en) 2015-02-27 2019-10-08 Pure Storage, Inc. Write intent messaging in a dispersed storage network
US11188665B2 (en) 2015-02-27 2021-11-30 Pure Storage, Inc. Using internal sensors to detect adverse interference and take defensive actions
US10530861B2 (en) 2015-02-27 2020-01-07 Pure Storage, Inc. Utilizing multiple storage pools in a dispersed storage network
US10528425B2 (en) 2015-02-27 2020-01-07 Pure Storage, Inc. Transitioning to an optimized data storage approach in a dispersed storage network
US10275185B2 (en) 2015-02-27 2019-04-30 International Business Machines Corporation Fail-in-place supported via decentralized or Distributed Agreement Protocol (DAP)
US10657000B2 (en) 2015-02-27 2020-05-19 Pure Storage, Inc. Optimizing data storage in a dispersed storage network
US10423502B2 (en) 2015-02-27 2019-09-24 Pure Storage, Inc. Stand-by distributed storage units
US10387067B2 (en) 2015-02-27 2019-08-20 Pure Storage, Inc. Optimizing data storage in a dispersed storage network
US10069915B2 (en) 2015-02-27 2018-09-04 International Business Machines Corporation Storing data in a dispersed storage network
US10409772B2 (en) 2015-02-27 2019-09-10 Pure Storage, Inc. Accessing serially stored data in a dispersed storage network
US10437676B2 (en) 2015-02-27 2019-10-08 Pure Storage, Inc. Urgent reads and using data source health to determine error recovery procedures
US11836369B1 (en) 2015-02-27 2023-12-05 Pure Storage, Inc. Storing data in an expanded storage pool of a vast storage network
US10503591B2 (en) 2015-02-27 2019-12-10 Pure Storage, Inc. Selecting retrieval locations in a dispersed storage network
US10387070B2 (en) 2015-03-31 2019-08-20 Pure Storage, Inc. Migrating data in response to adding incremental storage resources in a dispersed storage network
US10528282B2 (en) 2015-03-31 2020-01-07 Pure Storage, Inc. Modifying and utilizing a file structure in a dispersed storage network
US10079887B2 (en) 2015-03-31 2018-09-18 International Business Machines Corporation Expanding storage capacity of a set of storage units in a distributed storage network
US10713374B2 (en) 2015-03-31 2020-07-14 Pure Storage, Inc. Resolving detected access anomalies in a dispersed storage network
US10852957B2 (en) 2015-03-31 2020-12-01 Pure Storage, Inc. Migration agent employing moveslice request
US10331384B2 (en) 2015-03-31 2019-06-25 International Business Machines Corporation Storing data utilizing a maximum accessibility approach in a dispersed storage network
US10534661B2 (en) 2015-03-31 2020-01-14 Pure Storage, Inc. Selecting a storage error abatement alternative in a dispersed storage network
US10915261B2 (en) 2015-03-31 2021-02-09 Pure Storage, Inc. Selecting a set of storage units in a distributed storage network
US10963180B2 (en) 2015-03-31 2021-03-30 Pure Storage, Inc. Adding incremental storage resources in a dispersed storage network
US11055177B2 (en) 2015-03-31 2021-07-06 Pure Storage, Inc. Correlating operational information with an error condition in a dispersed storage network
US10437515B2 (en) 2015-03-31 2019-10-08 Pure Storage, Inc. Selecting storage units in a dispersed storage network
US10067998B2 (en) 2015-04-30 2018-09-04 International Business Machines Corporation Distributed sync list
US10078561B2 (en) 2015-04-30 2018-09-18 International Business Machines Corporation Handling failing memory devices in a dispersed storage network
US10037171B2 (en) 2015-04-30 2018-07-31 International Business Machines Corporation Accessing common data in a dispersed storage network
US10268376B2 (en) 2015-04-30 2019-04-23 International Business Machines Corporation Automated deployment and assignment of access devices in a dispersed storage network
US10157094B2 (en) 2015-04-30 2018-12-18 International Business Machines Corporation Validating system registry files in a dispersed storage network
US10254992B2 (en) 2015-04-30 2019-04-09 International Business Machines Corporation Rebalancing data storage in a dispersed storage network
US10055170B2 (en) 2015-04-30 2018-08-21 International Business Machines Corporation Scheduling storage unit maintenance tasks in a dispersed storage network
US10168904B2 (en) 2015-04-30 2019-01-01 International Business Machines Corporation Quasi-error notifications in a dispersed storage network
US10216594B2 (en) 2015-04-30 2019-02-26 International Business Machines Corporation Automated stalled process detection and recovery
US11057446B2 (en) 2015-05-14 2021-07-06 Bright Data Ltd. System and method for streaming content from multiple servers
US10402122B2 (en) 2015-05-29 2019-09-03 Pure Storage, Inc. Transferring encoded data slices in a dispersed storage network
US10324657B2 (en) 2015-05-29 2019-06-18 International Business Machines Corporation Accounting for data whose rebuilding is deferred
US10523241B2 (en) 2015-05-29 2019-12-31 Pure Storage, Inc. Object fan out write operation
US10169125B2 (en) 2015-05-29 2019-01-01 International Business Machines Corporation Re-encoding data in a dispersed storage network
US11115221B2 (en) 2015-05-29 2021-09-07 Pure Storage, Inc. Verifying a rebuilt encoded data slice using slice verification information
US10891058B2 (en) 2015-05-29 2021-01-12 Pure Storage, Inc. Encoding slice verification information to support verifiable rebuilding
US10430107B2 (en) 2015-05-29 2019-10-01 Pure Storage, Inc. Identifying stored data slices during a slice migration activity in a dispersed storage network
US10838664B2 (en) 2015-05-29 2020-11-17 Pure Storage, Inc. Determining a storage location according to legal requirements
US10613798B2 (en) 2015-05-29 2020-04-07 Pure Storage, Inc. Slice fanout write request
US10789128B2 (en) 2015-05-29 2020-09-29 Pure Storage, Inc. External healing mode for a dispersed storage network memory
US10409522B2 (en) 2015-05-29 2019-09-10 Pure Storage, Inc. Reclaiming storage capacity in a dispersed storage network
WO2016206709A1 (en) 2015-06-22 2016-12-29 Telefonaktiebolaget Lm Ericsson (Publ) Path selection in wireless mesh networks
US11669546B2 (en) 2015-06-30 2023-06-06 Pure Storage, Inc. Synchronizing replicated data in a storage network
US10437671B2 (en) 2015-06-30 2019-10-08 Pure Storage, Inc. Synchronizing replicated stored data
US10055291B2 (en) 2015-06-30 2018-08-21 International Business Machines Corporation Method and system for processing data access requests during data transfers
US11782789B2 (en) 2015-07-31 2023-10-10 Pure Storage, Inc. Encoding data and associated metadata in a storage network
US10467096B2 (en) 2015-07-31 2019-11-05 Pure Storage, Inc. Securely storing data in a dispersed storage network
US10466914B2 (en) 2015-08-31 2019-11-05 Pure Storage, Inc. Verifying authorized access in a dispersed storage network
US10073652B2 (en) 2015-09-24 2018-09-11 International Business Machines Corporation Performance optimized storage vaults in a dispersed storage network
US10169147B2 (en) 2015-10-30 2019-01-01 International Business Machines Corporation End-to-end secure data storage in a dispersed storage network
CN105446910B (en) * 2015-11-24 2019-01-25 东软集团股份有限公司 A kind of data transmission method and device
US10409514B2 (en) 2015-11-30 2019-09-10 International Business Machines Corporation IP multicast message transmission for event notifications
US10346246B2 (en) 2015-11-30 2019-07-09 International Business Machines Corporation Recovering data copies in a dispersed storage network
US20170192688A1 (en) 2015-12-30 2017-07-06 International Business Machines Corporation Lazy deletion of vaults in packed slice storage (pss) and zone slice storage (zss)
US10855759B2 (en) 2016-01-26 2020-12-01 Pure Storage, Inc. Utilizing a hierarchical index in a dispersed storage network
US10089178B2 (en) 2016-02-29 2018-10-02 International Business Machines Corporation Developing an accurate dispersed storage network memory performance model through training
US10387248B2 (en) 2016-03-29 2019-08-20 International Business Machines Corporation Allocating data for storage by utilizing a location-based hierarchy in a dispersed storage network
US10831381B2 (en) 2016-03-29 2020-11-10 International Business Machines Corporation Hierarchies of credential and access control sharing between DSN memories
US10419538B2 (en) 2016-04-26 2019-09-17 International Business Machines Corporation Selecting memory for data access in a dispersed storage network
US10169082B2 (en) 2016-04-27 2019-01-01 International Business Machines Corporation Accessing data in accordance with an execution deadline
US10628399B2 (en) 2016-04-29 2020-04-21 International Business Machines Corporation Storing data in a dispersed storage network with consistency
US10007444B2 (en) 2016-04-29 2018-06-26 International Business Machines Corporation Batching access requests in a dispersed storage network
US10091298B2 (en) 2016-05-27 2018-10-02 International Business Machines Corporation Enhancing performance of data storage in a dispersed storage network
US10122795B2 (en) 2016-05-31 2018-11-06 International Business Machines Corporation Consistency level driven data storage in a dispersed storage network
US10353772B2 (en) 2016-05-31 2019-07-16 International Business Machines Corporation Selecting data for storage in a dispersed storage network
US10027755B2 (en) 2016-06-01 2018-07-17 International Business Machines Corporation Selecting storage units in one or more dispersed storage networks
US10182387B2 (en) * 2016-06-01 2019-01-15 At&T Intellectual Property I, L.P. Method and apparatus for distributing content via diverse networks
US10394650B2 (en) 2016-06-03 2019-08-27 International Business Machines Corporation Multiple writes using inter-site storage unit relationship
US10719499B2 (en) 2016-06-06 2020-07-21 INTERNATIONAL BUSINESS MACHINES CORPORATIOb Establishing distributed consensus via alternate voting strategies in a dispersed storage network
US10652350B2 (en) 2016-06-06 2020-05-12 International Business Machines Corporation Caching for unique combination reads in a dispersed storage network
US10334045B2 (en) 2016-06-06 2019-06-25 International Business Machines Corporation Indicating multiple encoding schemes in a dispersed storage network
US10735545B2 (en) 2016-06-06 2020-08-04 International Business Machines Corporation Routing vault access requests in a dispersed storage network
FR3052944B1 (en) * 2016-06-15 2019-07-19 Hl2 METHOD FOR SEGMENTING HIGH-PERFORMANCE DATA
FR3052943B1 (en) * 2016-06-15 2018-12-14 Hl2 METHOD FOR RECONSTRUCTING DATA IN LOW-FLOW TRANSMISSION
US10564852B2 (en) 2016-06-25 2020-02-18 International Business Machines Corporation Method and system for reducing memory device input/output operations
US10007438B2 (en) 2016-06-25 2018-06-26 International Business Machines Corporation Method and system for achieving consensus using alternate voting strategies (AVS) with incomplete information
US10235085B2 (en) 2016-06-27 2019-03-19 International Business Machines Corporation Relocating storage unit data in response to detecting hotspots in a dispersed storage network
US11115469B2 (en) 2016-06-28 2021-09-07 International Business Machines Corporation Efficient updates within a dispersed storage network
US10025505B2 (en) 2016-06-29 2018-07-17 International Business Machines Corporation Accessing data in a dispersed storage network during write operations
US10157021B2 (en) 2016-06-29 2018-12-18 International Business Machines Corporation Processing incomplete data access transactions
US10387286B2 (en) 2016-06-30 2019-08-20 International Business Machines Corporation Managing configuration updates in a dispersed storage network
US9934092B2 (en) 2016-07-12 2018-04-03 International Business Machines Corporation Manipulating a distributed agreement protocol to identify a desired set of storage units
US10417094B1 (en) 2016-07-13 2019-09-17 Peer Fusion, Inc. Hyper storage cluster
US10534666B2 (en) 2016-07-14 2020-01-14 International Business Machines Corporation Determining storage requirements based on licensing right in a dispersed storage network
US10102067B2 (en) 2016-07-14 2018-10-16 International Business Machines Corporation Performing a desired manipulation of an encoded data slice based on a metadata restriction and a storage operational condition
US10114696B2 (en) 2016-07-14 2018-10-30 International Business Machines Corporation Tracking data access in a dispersed storage network
US9992063B2 (en) 2016-07-18 2018-06-05 International Business Machines Corporation Utilizing reallocation via a decentralized, or distributed, agreement protocol (DAP) for storage unit (SU) replacement
US10360103B2 (en) 2016-07-18 2019-07-23 International Business Machines Corporation Focused storage pool expansion to prevent a performance degradation
US10769015B2 (en) 2016-07-19 2020-09-08 International Business Machines Corporation Throttling access requests at different layers of a DSN memory
US10277490B2 (en) 2016-07-19 2019-04-30 International Business Machines Corporation Monitoring inter-site bandwidth for rebuilding
US10459796B2 (en) 2016-07-20 2019-10-29 International Business Machines Corporation Prioritizing rebuilding based on a longevity estimate of the rebuilt slice
US10127112B2 (en) 2016-07-20 2018-11-13 International Business Machines Corporation Assigning prioritized rebuild resources optimally
US10031809B2 (en) 2016-07-20 2018-07-24 International Business Machines Corporation Efficient method for rebuilding a set of encoded data slices
US10554752B2 (en) 2016-07-20 2020-02-04 International Business Machines Corporation Efficient transfer of encoded data slice sets to new or alternate storage units
US10379744B2 (en) 2016-07-21 2019-08-13 International Business Machines Corporation System for collecting end-user feedback and usability metrics
US10416930B2 (en) 2016-07-21 2019-09-17 International Business Machines Corporation Global access permit listing
US10459790B2 (en) 2016-07-26 2019-10-29 International Business Machines Corporation Elastic storage in a dispersed storage network
US10395043B2 (en) 2016-07-29 2019-08-27 International Business Machines Corporation Securely storing data in an elastically scalable dispersed storage network
WO2018031342A1 (en) * 2016-08-02 2018-02-15 Paul Lewis Jurisdiction independent data storage in a multi-vendor cloud environment
US10031805B2 (en) 2016-08-09 2018-07-24 International Business Machines Corporation Assigning slices to storage locations based on a predicted lifespan
US10223036B2 (en) 2016-08-10 2019-03-05 International Business Machines Corporation Expanding a dispersed storage network (DSN)
US10129023B2 (en) 2016-08-11 2018-11-13 International Business Machines Corporation Enhancing security for multiple storage configurations
US10348829B2 (en) 2016-08-15 2019-07-09 International Business Machines Corporation Auto indexing with customizable metadata
US10013309B2 (en) 2016-08-17 2018-07-03 International Business Machines Corporation Missing slice reconstruction in a dispersed storage network
US10078468B2 (en) 2016-08-18 2018-09-18 International Business Machines Corporation Slice migration in a dispersed storage network
US10379778B2 (en) 2016-08-18 2019-08-13 International Business Machines Corporation Using a master encryption key to sanitize a dispersed storage network memory
US10389683B2 (en) 2016-08-26 2019-08-20 International Business Machines Corporation Securing storage units in a dispersed storage network
US10581807B2 (en) 2016-08-29 2020-03-03 International Business Machines Corporation Using dispersal techniques to securely store cryptographic resources and respond to attacks
US10379773B2 (en) 2016-08-29 2019-08-13 International Business Machines Corporation Storage unit for use in a dispersed storage network
US10061524B2 (en) 2016-09-01 2018-08-28 International Business Machines Corporation Wear-leveling of memory devices
US10169149B2 (en) 2016-09-06 2019-01-01 International Business Machines Corporation Standard and non-standard dispersed storage network data access
US10387079B2 (en) 2016-09-09 2019-08-20 International Business Machines Corporation Placement of dispersed storage data based on requestor properties
US10225271B2 (en) 2016-09-09 2019-03-05 International Business Machines Corporation Distributed storage network with enhanced security monitoring
US10547615B2 (en) 2016-09-12 2020-01-28 International Business Machines Corporation Security response protocol based on security alert encoded data slices of a distributed storage network
US10558396B2 (en) 2016-09-14 2020-02-11 International Business Machines Corporation Pre-caching data according to a current or predicted requester location
US10558389B2 (en) 2016-09-20 2020-02-11 International Business Machines Corporation Per-storage class quality of service (QoS) management within a distributed storage network (DSN) where the DSN stores data using dispersed storage error decoding/encoding
US10067822B2 (en) 2016-09-26 2018-09-04 International Business Machines Corporation Combined slice objects in alternate memory locations
US10305868B2 (en) * 2016-09-30 2019-05-28 Uchicago Argonne, Llc Stream splitting moving target defense
US10997557B2 (en) 2016-10-14 2021-05-04 Slack Technologies, Inc. Method, apparatus, and computer program product for authorizing and authenticating user communication within an enterprise group-based communication platform
US10448062B2 (en) 2016-10-26 2019-10-15 International Business Machines Corporation Pre-fetching media content to reduce peak loads
US10394630B2 (en) 2016-10-26 2019-08-27 International Business Machines Corporation Estimating relative data importance in a dispersed storage network
US10481977B2 (en) 2016-10-27 2019-11-19 International Business Machines Corporation Dispersed storage of error encoded data objects having multiple resolutions
US10585751B2 (en) 2016-10-27 2020-03-10 International Business Machines Corporation Partial rebuild operation within a dispersed storage network including local memory and cloud-based alternative memory
US11169731B2 (en) 2016-10-31 2021-11-09 International Business Machines Corporation Managing storage resources in a dispersed storage network
US10540247B2 (en) 2016-11-10 2020-01-21 International Business Machines Corporation Handling degraded conditions using a redirect module
US10585607B2 (en) 2016-11-10 2020-03-10 International Business Machines Corporation Determining an optimum selection of functions for units in a DSN memory
LU93377B1 (en) * 2016-12-15 2018-07-03 Luxembourg Inst Science & Tech List P2p network data distribution and retrieval using blockchain log
US10114698B2 (en) 2017-01-05 2018-10-30 International Business Machines Corporation Detecting and responding to data loss events in a dispersed storage network
US10782921B2 (en) 2017-01-25 2020-09-22 International Business Machines Corporation Non-writing device finalization of a write operation initiated by another device
US10180787B2 (en) 2017-02-09 2019-01-15 International Business Machines Corporation Dispersed storage write process with lock/persist
US10241865B2 (en) 2017-02-15 2019-03-26 International Business Machines Corporation Handling storage unit failure in a dispersed storage network
US10579309B2 (en) 2017-02-16 2020-03-03 International Business Machines Corporation Method for increasing throughput in a distributed storage network
US10248495B2 (en) 2017-02-17 2019-04-02 International Business Machines Corporation Eventual consistency intent cleanup in a dispersed storage network
US10552341B2 (en) 2017-02-17 2020-02-04 International Business Machines Corporation Zone storage—quickly returning to a state of consistency following an unexpected event
US10382553B2 (en) 2017-02-20 2019-08-13 International Business Machines Corporation Zone storage—resilient and efficient storage transactions
US10394468B2 (en) 2017-02-23 2019-08-27 International Business Machines Corporation Handling data slice revisions in a dispersed storage network
US10241677B2 (en) 2017-02-24 2019-03-26 International Business Machines Corporation Ensuring consistency between content and metadata with intents
US9998147B1 (en) 2017-02-27 2018-06-12 International Business Machines Corporation Method for using write intents in a distributed storage network
US10642532B2 (en) 2017-02-28 2020-05-05 International Business Machines Corporation Storing data sequentially in zones in a dispersed storage network
US10372380B2 (en) 2017-03-01 2019-08-06 International Business Machines Corporation Asserting integrity with a verifiable codec
US10169392B2 (en) 2017-03-08 2019-01-01 International Business Machines Corporation Persistent data structures on a dispersed storage network memory
US11226980B2 (en) 2017-03-13 2022-01-18 International Business Machines Corporation Replicating containers in object storage using intents
US10235241B2 (en) 2017-03-15 2019-03-19 International Business Machines Corporation Method for partial updating data content in a distributed storage network
US10693640B2 (en) 2017-03-17 2020-06-23 International Business Machines Corporation Use of key metadata during write and read operations in a dispersed storage network memory
US10241861B2 (en) 2017-03-23 2019-03-26 International Business Machines Corporation Method for tenant isolation in a distributed computing system
US10542408B2 (en) 2017-03-25 2020-01-21 ARRIS Enterprises, LLC Technique for establishing a mesh network
US10133634B2 (en) 2017-03-30 2018-11-20 International Business Machines Corporation Method for performing in-place disk format changes in a distributed storage network
US10360391B2 (en) 2017-04-03 2019-07-23 International Business Machines Corporation Verifiable keyed all-or-nothing transform
US10545699B2 (en) 2017-04-11 2020-01-28 International Business Machines Corporation Dynamic retention policies and optional deletes
US10379961B2 (en) 2017-04-11 2019-08-13 International Business Machines Corporation Ensuring metadata and index consistency using write intents
US10567509B2 (en) 2017-05-15 2020-02-18 International Business Machines Corporation Rebuilding derived content
US10491386B2 (en) 2017-06-01 2019-11-26 International Business Machines Corporation Slice-level keyed encryption with support for efficient rekeying
US10339003B2 (en) 2017-06-01 2019-07-02 International Business Machines Corporation Processing data access transactions in a dispersed storage network using source revision indicators
US10467097B2 (en) 2017-06-02 2019-11-05 International Business Machines Corporation Indicating data health in a DSN memory
US10372381B2 (en) 2017-06-05 2019-08-06 International Business Machines Corporation Implicit leader election in a distributed storage network
US10361813B2 (en) 2017-06-16 2019-07-23 International Business Machine Corporation Using slice routers for improved storage placement determination
US10534548B2 (en) 2017-06-20 2020-01-14 International Business Machines Corporation Validating restricted operations on a client using trusted environments
US10324855B2 (en) 2017-06-23 2019-06-18 International Business Machines Corporation Associating a processing thread and memory section to a memory device
US10540111B2 (en) 2017-06-28 2020-01-21 International Business Machines Corporation Managing data container instances in a dispersed storage network
US10594790B2 (en) 2017-06-28 2020-03-17 International Business Machines Corporation Data compression in a dispersed storage network
US11341093B2 (en) 2017-07-20 2022-05-24 Slack Technologies, Llc Method, apparatus and computer program product for generating externally shared communication channels
US10402371B2 (en) 2017-07-20 2019-09-03 Slack Technologies, Inc. Method, apparatus and computer program product for generating externally shared communication channels
US10541825B2 (en) 2017-07-20 2020-01-21 Slack Technologies, Inc. Method, apparatus and computer program product for generating externally shared communication channels
US10599502B2 (en) 2017-08-07 2020-03-24 International Business Machines Corporation Fault detection and recovery in a distributed storage network
US10509699B2 (en) 2017-08-07 2019-12-17 International Business Machines Corporation Zone aware request scheduling and data placement
US10671746B2 (en) 2017-08-28 2020-06-02 International Business Machines Corporation Controlling access when processing intents in a dispersed storage network
US10379942B2 (en) 2017-09-27 2019-08-13 International Business Machines Corporation Efficient transfer of objects between containers on the same vault
US10802713B2 (en) 2017-09-29 2020-10-13 International Business Machines Corporation Requester-associated storage entity data
US10585748B2 (en) 2017-09-29 2020-03-10 International Business Machines Corporation Scalable cloud—assigning scores to requesters and treating requests differently based on those scores
US10409661B2 (en) 2017-09-29 2019-09-10 International Business Machines Corporation Slice metadata for optimized dispersed storage network memory storage strategies
US10540120B2 (en) 2017-11-14 2020-01-21 International Business Machines Corporation Contention avoidance on associative commutative updates
US10423497B2 (en) 2017-11-28 2019-09-24 International Business Machines Corporation Mechanism for representing system configuration changes as a series of objects writable to an object storage container
US10565392B2 (en) 2017-11-28 2020-02-18 International Business Machines Corporation Secure and verifiable update operations
US10785194B2 (en) 2017-12-07 2020-09-22 International Business Machines Corporation Processing intents using trusted entities in a dispersed storage network
US10681135B2 (en) 2017-12-08 2020-06-09 International Business Machines Corporation Generating slices from a broadcast message and a recipient identity
WO2019118356A1 (en) 2017-12-11 2019-06-20 Fungible, Inc. Durable block storage in data center access nodes with inline erasure coding
LU100580B1 (en) * 2017-12-18 2019-06-28 Luxembourg Inst Science & Tech List Profiling proxy
US11412041B2 (en) 2018-06-25 2022-08-09 International Business Machines Corporation Automatic intervention of global coordinator
EP3831021A1 (en) 2018-07-27 2021-06-09 Gotenna Inc. VINEtm ZERO-CONTROL ROUTING USING DATA PACKET INSPECTION FOR WIRELESS MESH NETWORKS
US10637785B2 (en) 2018-08-16 2020-04-28 Uchicago Argonne, Llc Software defined networking multiple operating system rotational environment
JP6534478B1 (en) * 2018-08-16 2019-06-26 行徳紙工株式会社 File sharing system and method
US10761931B2 (en) 2018-10-24 2020-09-01 Fungible, Inc. Inline reliability coding for storage on a network
US10990478B2 (en) 2019-02-01 2021-04-27 Fungible, Inc. Flexible reliability coding for storage on a network
WO2020086850A2 (en) * 2018-10-24 2020-04-30 Fungible, Inc. Flexible reliability coding for storage on a network
US11017108B2 (en) 2018-10-30 2021-05-25 International Business Machines Corporation Storage unification with security management
US10936452B2 (en) 2018-11-14 2021-03-02 International Business Machines Corporation Dispersed storage network failover units used to improve local reliability
JP7190336B2 (en) * 2018-11-15 2022-12-15 富士通株式会社 Communication device, communication method, and communication program
US10346378B1 (en) 2018-11-30 2019-07-09 Slack Technologies, Inc. Data storage architecture for an enterprise communication system
US11151265B2 (en) * 2019-04-29 2021-10-19 International Business Machines Corporation Secure data storage based on obfuscation by distribution
US11876833B2 (en) 2019-08-15 2024-01-16 Uchicago Argonne, Llc Software defined networking moving target defense honeypot
US11593026B2 (en) 2020-03-06 2023-02-28 International Business Machines Corporation Zone storage optimization using predictive protocol patterns
LU101681B1 (en) * 2020-03-16 2021-09-16 Microsoft Technology Licensing Llc Maintenance mode for storage nodes
US11630729B2 (en) 2020-04-27 2023-04-18 Fungible, Inc. Reliability coding with reduced network traffic
US20230067574A1 (en) * 2021-09-01 2023-03-02 International Business Machines Corporation Contextually irrelevant file segmentation

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5412654A (en) * 1994-01-10 1995-05-02 International Business Machines Corporation Highly dynamic destination-sequenced destination vector routing for mobile computers
EP0948176A2 (en) * 1998-03-31 1999-10-06 Siemens Information and Communication Networks, Inc System for providing enhanced security for transactions transmitted through a distributed network

Family Cites Families (44)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4802220A (en) * 1985-03-20 1989-01-31 American Telephone And Telegraph Company, At&T Bell Laboratories Method and apparatus for multi-channel communication security
US4805107A (en) * 1987-04-15 1989-02-14 Allied-Signal Inc. Task scheduler for a fault tolerant multiple node processing system
US4908828A (en) * 1987-12-29 1990-03-13 Indesys, Inc. Method for error free message reception
JPH03216751A (en) * 1990-01-05 1991-09-24 Internatl Business Mach Corp <Ibm> Method of transferring file
US5668880A (en) * 1991-07-08 1997-09-16 Alajajian; Philip Michael Inter-vehicle personal data communications device
US5987639A (en) * 1992-01-21 1999-11-16 Nokia Mobile Phones Ltd. Data decoding logic in a mobile phone
FR2686755A1 (en) * 1992-01-28 1993-07-30 Electricite De France METHOD FOR ENCRYPTING MESSAGES TRANSMITTED BETWEEN INTERCONNECTED NETWORKS, ENCRYPTION APPARATUS AND DEVICE FOR COMMUNICATING ENCRYPTED DATA USING SUCH A METHOD.
UA41387C2 (en) * 1994-01-13 2001-09-17 Сертко, Інк Method for setting of true communication being checked, method for protected communication, method for renewal of micro-software, method for execution of enciphered communication and method for giving to device checked on identity of right on electron transaction
US5742905A (en) * 1994-09-19 1998-04-21 Bell Communications Research, Inc. Personal communications internetworking
US5623595A (en) * 1994-09-26 1997-04-22 Oracle Corporation Method and apparatus for transparent, real time reconstruction of corrupted data in a redundant array data storage system
US5553145A (en) * 1995-03-21 1996-09-03 Micali; Silvia Simultaneous electronic transactions with visible trusted parties
US5610904A (en) * 1995-03-28 1997-03-11 Lucent Technologies Inc. Packet-based telecommunications network
US5864654A (en) * 1995-03-31 1999-01-26 Nec Electronics, Inc. Systems and methods for fault tolerant information processing
DE19515681A1 (en) * 1995-04-28 1996-10-31 Sel Alcatel Ag Method, system and subscriber device for tamper-proof separation of message streams
US5699503A (en) * 1995-05-09 1997-12-16 Microsoft Corporation Method and system for providing fault tolerance to a continuous media server system
US5995559A (en) * 1995-08-31 1999-11-30 Telefonaktiebolaget Lm Ericsson Methods for improved communication using repeated words
JPH0981471A (en) * 1995-09-11 1997-03-28 Toshiba Corp Continuous data server device and control instruction transmitting method
US5757924A (en) * 1995-09-18 1998-05-26 Digital Secured Networks Techolognies, Inc. Network security device which performs MAC address translation without affecting the IP address
EP0865707B1 (en) * 1995-11-07 2003-03-12 Motorola, Inc. Improved message processing in two-way data devices
FI102936B (en) * 1996-03-04 1999-03-15 Nokia Telecommunications Oy Improving security of packet transmission in a mobile communication system
US5968197A (en) * 1996-04-01 1999-10-19 Ericsson Inc. Method and apparatus for data recovery
US6137792A (en) * 1996-06-14 2000-10-24 International Discount Telecommunications Corp. Method and apparatus for enabling transmission of data packets over a bypass circuit-switched public telephone connection
US6067620A (en) * 1996-07-30 2000-05-23 Holden; James M. Stand alone security device for computer networks
US5872847A (en) * 1996-07-30 1999-02-16 Itt Industries, Inc. Using trusted associations to establish trust in a computer network
EP0917781A4 (en) * 1996-08-07 2003-08-13 Silvio Micali Simultaneous electronic transactions with visible trusted parties
US5987011A (en) * 1996-08-30 1999-11-16 Chai-Keong Toh Routing method for Ad-Hoc mobile networks
JP3651721B2 (en) * 1996-11-01 2005-05-25 株式会社東芝 Mobile computer device, packet processing device, and communication control method
US6085178A (en) * 1997-03-21 2000-07-04 International Business Machines Corporation Apparatus and method for communicating between an intelligent agent and client computer process using disguised messages
US5914971A (en) * 1997-04-22 1999-06-22 Square D Company Data error detector for bit, byte or word oriented networks
CA2290991A1 (en) * 1997-06-04 1998-12-10 Simple Access Partners, Llc System and method for processing transaction messages
US6044486A (en) * 1997-09-11 2000-03-28 Uniden America Corporation Method and device for majority vote optimization over wireless communication channels
US6044487A (en) * 1997-12-16 2000-03-28 International Business Machines Corporation Majority voting scheme for hard error sites
US5883581A (en) * 1997-12-22 1999-03-16 Motorola, Inc. Time diversity radio system using transparent address vector and message repeats
US6052812A (en) * 1998-01-07 2000-04-18 Pocketscience, Inc. Messaging communication protocol
FI108827B (en) * 1998-01-08 2002-03-28 Nokia Corp A method for implementing connection security in a wireless network
US6148082A (en) * 1998-01-14 2000-11-14 Skystream Corporation Scrambling and descrambling control word control in a remultiplexer for video bearing transport streams
US6130881A (en) * 1998-04-20 2000-10-10 Sarnoff Corporation Traffic routing in small wireless data networks
US6154839A (en) * 1998-04-23 2000-11-28 Vpnet Technologies, Inc. Translating packet addresses based upon a user identifier
US6175752B1 (en) * 1998-04-30 2001-01-16 Therasense, Inc. Analyte monitoring device and methods of use
US6138235A (en) * 1998-06-29 2000-10-24 Sun Microsystems, Inc. Controlling access to services between modular applications
EP1125419B1 (en) * 1998-10-30 2009-08-26 VirnetX Inc. An agile network protocol for secure communications with assured system availability
US7600131B1 (en) * 1999-07-08 2009-10-06 Broadcom Corporation Distributed processing in a cryptography acceleration chip
US6687833B1 (en) * 1999-09-24 2004-02-03 Networks Associates, Inc. System and method for providing a network host decoy using a pseudo network protocol stack implementation
US6880090B1 (en) * 2000-04-17 2005-04-12 Charles Byron Alexander Shawcross Method and system for protection of internet sites against denial of service attacks through use of an IP multicast address hopping technique

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5412654A (en) * 1994-01-10 1995-05-02 International Business Machines Corporation Highly dynamic destination-sequenced destination vector routing for mobile computers
EP0948176A2 (en) * 1998-03-31 1999-10-06 Siemens Information and Communication Networks, Inc System for providing enhanced security for transactions transmitted through a distributed network

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
MAXEMCHUK N F: "DISPERSITY ROUTING IN HIGH-SPEED NETWORKS" COMPUTER NETWORKS AND ISDN SYSTEMS, NORTH HOLLAND PUBLISHING. AMSTERDAM, NL, vol. 25, 1993, pages 645-661, XP000570119 ISSN: 0169-7552 *

Cited By (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005025179A1 (en) * 2003-09-10 2005-03-17 Csaba Bona Method for transmitting electronic data via a dual network in order to increase internet security
WO2006034990A1 (en) * 2004-09-29 2006-04-06 Siemens Aktiengesellschaft Method for the distribution of software and configuration data, and corresponding data network
US8291115B2 (en) 2004-09-29 2012-10-16 Siemens Enterprise Communications Gmbh & Co. Kg Method for distribution of software and configuration data and corresponding data network
CN101065934B (en) * 2004-09-29 2010-09-01 西门子公司 Method for distribution of software and configuration data and corresponding data network
US7515565B2 (en) 2005-05-09 2009-04-07 Kyocera Corporation Multiple source wireless communication system and method
WO2006121900A2 (en) * 2005-05-09 2006-11-16 Kyocera Corporation Multiple source wireless communication system and method
WO2006121900A3 (en) * 2005-05-09 2007-01-18 Kyocera Corp Multiple source wireless communication system and method
EP1850554A2 (en) * 2006-04-21 2007-10-31 LONMARK Deutschland e.V. Safe communications in a network
EP1850554A3 (en) * 2006-04-21 2010-03-17 LONMARK Deutschland e.V. Safe communications in a network
WO2007149014A1 (en) * 2006-06-20 2007-12-27 Telefonaktiebolaget Lm Ericsson (Publ) A user terminal for enhanced security in a wireless communications system, and a system for its use
WO2008065341A2 (en) 2006-12-01 2008-06-05 David Irvine Distributed network system
GB2444343B (en) * 2006-12-01 2012-04-18 David Irvine Self encryption
GB2444343A (en) * 2006-12-01 2008-06-04 David Irvine Encryption system for peer-to-peer networks in which data is divided into chunks and self-encryption is applied
EP2472430A1 (en) 2006-12-01 2012-07-04 David Irvine Self encryption
EP1976201A1 (en) * 2007-03-30 2008-10-01 Lucent Technologies Inc. Shared communication capabilities of mobile stations for high bandwidth communications
WO2008121248A1 (en) * 2007-03-30 2008-10-09 Lucent Technologies Inc. Shared communication capabilities of mobile stations for high bandwidth communications
FR2929063A1 (en) * 2008-03-20 2009-09-25 Canon Kk METHOD AND DEVICE FOR ALLOCATING DATA TRANSMISSION PATHS IN A SYNCHRONOUS COMMUNICATION NETWORK, COMPUTER PROGRAM PRODUCT AND CORRESPONDING STORAGE MEDIUM
EP2107730A1 (en) 2008-03-31 2009-10-07 Mitsubishi Electric R&D Centre Europe B.V. Method for determining to which resource among plural resources, elements of a group of elements have to be allocated
US8284717B2 (en) 2008-03-31 2012-10-09 Mitsubishi Electric Corporation Method and a device for transferring a flow of data by a first telecommunication device to a second telecommunication device
EP2107731A1 (en) 2008-03-31 2009-10-07 Mitsubishi Electric R&D Centre Europe B.V. Method and a device for transferring a flow of data by a first telecommunication device to a second telecommunication device
EP2333997A1 (en) * 2009-12-14 2011-06-15 Alcatel Lucent Method of dispersity transmitting a piece of information
WO2012025375A1 (en) * 2010-08-26 2012-03-01 Robert Bosch Gmbh Method for transmitting sensor data
WO2012051006A1 (en) * 2010-10-04 2012-04-19 Unisys Corporation Methods and systems for providing and controlling cryptographically secure communications across unsecured networks between a secure virtual terminal and a remote system
WO2012067726A1 (en) * 2010-10-04 2012-05-24 Unisys Corporation Method and systems for implementing a secure boot device using cryptographically secure communications across unsecured networks
EP3371934A4 (en) * 2015-11-02 2019-04-10 Dispersive Networks, Inc. Virtual dispersive networking systems and methods
RU2671989C1 (en) * 2017-11-27 2018-11-08 Акционерное общество "Калужский научно-исследовательский институт телемеханических устройств" Method of transmission of multilateral messages by the concatenated code in the communication complexes
RU2710911C1 (en) * 2019-03-04 2020-01-14 Акционерное общество "Калужский научно-исследовательский институт телемеханических устройств" Method of transmitting multi-unit messages in telecode communication systems
RU2755055C1 (en) * 2020-10-13 2021-09-13 Акционерное общество "Калужский научно-исследовательский институт телемеханических устройств" Method for transmitting multiblock messages by cascade code [rs (32, 16, 17), bch (31, 16, 7)]

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