SYSTEM AND METHOD FOR DISTRIBUTED NODE-BASED DATA COMPACTION

    公开(公告)号:US20240120940A1

    公开(公告)日:2024-04-11

    申请号:US18530147

    申请日:2023-12-05

    CPC classification number: H03M7/3059 G06N20/00 H03M7/6005 H04L9/50

    Abstract: A system and method for distributed node-based data compaction. The system uses machine learning on data chunks to generate codebooks which compact the data to be stored, processed, or sent with a smaller data profile than uncompacted data. The system uses a data compaction in an existing blockchain fork or implemented in a new blockchain protocol from which nodes that wish to or need to use the blockchain can do so with a reduced storage requirement. The system uses network data compaction across all nodes to increase the speed of and decrease the size of a blockchain's data packets. The system uses data compaction firmware to increase the efficiency at which mining rigs can computationally validate new blocks on the blockchain. The system can be implemented using any combination of the three data compaction services to meet the needs of the desired blockchain technology.

    SYSTEM AND METHOD FOR DATA COMPACTION AND SECURITY WITH EXTENDED FUNCTIONALITY

    公开(公告)号:US20240113728A1

    公开(公告)日:2024-04-04

    申请号:US18478777

    申请日:2023-09-29

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

    Abstract: A system and method for scriptable selective obfuscation of records comprising a data obfuscation module configured to identify and perform data anonymization on personal identifiable information (PII) contained within a plurality of records to create a partially-blurred dataset, and further comprising an encoder which receives the partially-blurred dataset and performs data compaction on the partially-blurred dataset before storing the compacted dataset in a data storage system. In some implementations, the data storage system is a blockchain database and the system functions as a clearinghouse to validate and monitor transactions involving data access rights between record owners and third-party entities. The system can further broker such transactions and direct payment form the third-party entity to the record owner when access rights have been purchased.

    SYSTEM AND METHOD FOR DATA COMPRESSION WITH INTRUSION DETECTION

    公开(公告)号:US20230412192A1

    公开(公告)日:2023-12-21

    申请号:US18460553

    申请日:2023-09-03

    CPC classification number: H03M7/3059 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 blockchain data compaction

    公开(公告)号:US11838034B2

    公开(公告)日:2023-12-05

    申请号:US18303399

    申请日:2023-04-19

    CPC classification number: H03M7/3059 G06N20/00 H03M7/6005 H04L9/50

    Abstract: A system and method for faster communication between blockchain mining nodes and faster block validation. The system uses machine learning on data chunks to generate codebooks which compact the data to be stored, processed, or sent with a smaller data profile than uncompacted data. The system uses a data compaction in an existing blockchain fork or implemented in a new blockchain protocol from which nodes that wish to or need to use the blockchain can do so with a reduced storage requirement. The system uses network data compaction across all nodes to increase the speed of and decrease the size of a blockchain's data packets. The system uses data compaction firmware to increase the efficiency at which mining rigs can computationally validate new blocks on the blockchain. The system can be implemented using any combination of the three data compaction services to meet the needs of the desired blockchain technology.

    SYSTEM AND METHODS FOR BANDWIDTH-EFFICIENT DATA ENCODING

    公开(公告)号:US20230385242A1

    公开(公告)日:2023-11-30

    申请号:US18449706

    申请日:2023-08-15

    CPC classification number: G06F16/1752 G06F3/067 G06F3/0641 G06F3/0608

    Abstract: A system and methods for bandwidth-efficient data encoding comprising a sequence analyzer configured to: analyze a received sequence dataset to determine a sequence dataset file type, scan the sequence dataset to maintain a count of unique characters contained therein, identify positions where the unique character count increases by a power of two, deconstruct the sequence dataset into a plurality of sourceblocks at the identified positions, and encode the plurality of sourceblocks using a data deconstruction engine and library management module to assign each sourceblock a reference code.

    SYSTEM AND METHOD FOR DATA COMPACTION AND ENCRYPTION OF ANONYMIZED DATASETS

    公开(公告)号:US20230195311A1

    公开(公告)日:2023-06-22

    申请号:US18178556

    申请日:2023-03-06

    Abstract: A system and method for encoding anonymized dataset. A dataset may be pre-processed by dividing into a plurality of sourceblocks at all reasonable sourceblock lengths, and then counting how many times each sourceblock occurs in the dataset, resulting in a tally record of tokens and their count value. This tally record may then be anonymized and transmitted as an anonymized tally record to a data deconstruction engine which combined with a library manager creates a codebook and performs optimization techniques on the codebook. 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, in descending order of count value, to the library manger where each token may be assigned a codeword. Then a half-backed codebook is created using the tokens and each token's unique codeword, before sending the half-backed codebook to a system user.

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