Data compression with protocol adaptation

    公开(公告)号:US12218696B2

    公开(公告)日:2025-02-04

    申请号:US18423287

    申请日:2024-01-25

    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.

    SYSTEM AND METHOD FOR DATA COMPACTION AND ENCRYPTION OF ANONYMIZED DATA RECORDS

    公开(公告)号:US20240329836A1

    公开(公告)日:2024-10-03

    申请号:US18737474

    申请日:2024-06-07

    Abstract: A system and method for data compaction and encryption of anonymized data records. A dataset may be pre-processed by dividing into sourceblocks at reasonable intervals and tallying each sourceblock's frequency, creating a tally record of tokens and count values. This tally record may then be anonymized and transmitted to a data deconstruction engine which combined with a library manager creates a codebook and performs optimization techniques on the codebook. The data deconstruction engine and library manager may be distributed across multiple nodes or devices. The received anonymized tally record may be parsed into individual tokens by identifying the tokens with the highest count value. The tokens may then be sent descending order of count value to the library manger where each token may be assigned a codeword. A half-backed codebook is then created using the tokens and each token's unique codeword, before sending the half-backed codebook to a system user.

    SYSTEM AND METHOD FOR DATA COMPACTION UTILIZING DISTRIBUTED CODEBOOK ENCODING

    公开(公告)号:US20240086068A1

    公开(公告)日:2024-03-14

    申请号:US18490417

    申请日:2023-10-19

    Abstract: A system and method for data compaction utilizing distributed codebook encoding to improve entropy encoding methods to account for, and efficiently handle, previously-unseen data in data to be compacted, allow for distributed encoding and decoding capabilities, and allow for parametrized codebook encoding methods. 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. Further, a codebook and a behavior codebook may both be maintained or altered in a distributed fashion across multiple devices or services, for widespread, or permission-based, or parametrized codebook encoding.

Patent Agency Ranking