System and method for encrypted data compression

    公开(公告)号:US12237848B2

    公开(公告)日:2025-02-25

    申请号:US18503135

    申请日:2023-11-06

    Abstract: A system and method for encrypted data compression, which uses frequency analysis on data blocks within an input data stream to produce a prefix table, representing a first layer of transformation, and which applies a Burrow's-Wheeler transform (BWT) to the data inside the prefix table, representing a second layer of transformation, and which compresses the transformed data. In some implementations, the system and method may further include applying the BWT to a conditioned stream of genomic data, wherein the conditioned stream of data is accompanied by an error stream comprising the differences between the original data and the encrypted data.

    DEEP LEARNING-BASED DATA COMPRESSION WITH PROTOCOL ADAPTATION

    公开(公告)号:US20250055476A1

    公开(公告)日:2025-02-13

    申请号:US18926584

    申请日:2024-10-25

    Abstract: A system and method for data compression with protocol adaptation, that utilizes a codebook generator which leverages one or more machine/deep learning algorithms trained on at least a plurality of protocol policies in order to generate a protocol appendix and codebook, wherein original data is encoded by an encoder according to the codebook and sent to a decoder, but instead of just decoding the data according to the codebook to reconstruct the original data, data manipulation rules such as mapping and transformation are applied at the decoding stage to transform the decoded data into protocol formatted data.

    DATA COMPACTION UTILIZING DELTA ENCODING

    公开(公告)号:US20240419327A1

    公开(公告)日:2024-12-19

    申请号:US18663060

    申请日:2024-05-13

    Abstract: Data compaction using codebooks, that applies delta encoding methods to entropy encoding methods to improve data compaction of entropy encoding methods under certain conditions and when compacting data having certain characteristics. Delta encoding may be applied to entropy encoding methods to further compact data sets by reducing the number of sourceblocks included in a codebook to those most commonly encountered in data to be encoded and, where mismatches occur during encoding, using delta encoding of bit differences with existing sourceblocks in the codebook rather than adding new sourceblocks to the codebook.

    DATA COMPRESSION WITH INTRUSION DETECTION
    88.
    发明公开

    公开(公告)号:US20240283462A1

    公开(公告)日:2024-08-22

    申请号:US18423291

    申请日:2024-01-25

    CPC classification number: H03M7/3059 G06F21/554 G06N20/00 H03M7/6005

    Abstract: A system and method for data compression with intrusion detection, that measures in real-time the probability distribution of an encoded data stream, compares the probability distribution to a reference probability distribution, and uses one or more statistical algorithms to determine the divergence between the two sets of probability distributions to determine if an unusual distribution is the result of a data intrusion. The system comprises both encoding and decoding machines, an intrusion detection module, a codebook training module, and various databases which perform various analyses on encoded data streams.

    System and method for data compaction utilizing mismatch probability estimation

    公开(公告)号:US11928335B2

    公开(公告)日:2024-03-12

    申请号:US18295238

    申请日:2023-04-03

    Abstract: A system and method for compacting data that uses mismatch probability estimation to improve entropy encoding methods to account for, and efficiently handle, previously-unseen data in data to be compacted. Training data sets are analyzed to determine the frequency of occurrence of each sourceblock in the training data sets. A mismatch probability estimate is calculated comprising an estimated frequency at which any given data sourceblock received during encoding will not have a codeword in the codebook. Entropy encoding is used to generate codebooks comprising codewords for data sourceblocks based on the frequency of occurrence of each sourceblock. A “mismatch codeword” is inserted into the codebook based on the mismatch probability estimate to represent those cases when a block of data to be encoded does not have a codeword in the codebook. During encoding, if a mismatch occurs, a secondary encoding process is used to encode the mismatched sourceblock.

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