公开(公告)号：US20240113728A1

公开(公告)日：2024-04-04

申请号：US18478777

申请日：2023-09-29

Applicant: AtomBeam Technologies Inc.

Inventor： Joshua Cooper ,  Aliasghar Riahi ,  Charles Yeomans

IPC: H03M7/30 ,  G06N20/00

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.

公开(公告)号：US20240088912A1

公开(公告)日：2024-03-14

申请号：US18515272

申请日：2023-11-21

Applicant: AtomBeam Technologies Inc.

Inventor： Joshua Cooper ,  Aliasghar Riahi ,  Mojgan Haddad ,  Ryan Kourosh Riahi ,  Razmin Riahi ,  Charles Yeomans ,  Grant Fickes

IPC: H03M7/30 ,  G06N20/00

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

Abstract: A system and method for data compression with encryption, that produces a conditioned data stream by replacing data blocks within an input data stream to bring the frequency of each data block closer to an ideal value, produces an error stream comprising the differences between the original data and the encrypted data, and compresses the conditioned data.

公开(公告)号：US20240028563A1

公开(公告)日：2024-01-25

申请号：US18480497

申请日：2023-10-03

Applicant: AtomBeam Technologies Inc.

Inventor： Joshua Cooper ,  Charles Yeomans ,  Aliasghar Riahi ,  Gregory Caltabiano ,  Mojgan Haddad

IPC: G06F16/174 ,  G06F3/06

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

Abstract: A system and method for securing high-speed communications between processing units on computer chips, wherein a training data set is used to find patterns and associated smaller indices, or codewords, which are stored in a reference codebook library, and where reconstruction and deconstruction algorithms are used to encode and decode data as it is received. The codebook and algorithms may be stored in the firmware of a semiconductor which enable reduced resources and cost when transmitting data between or among devices that utilize such semiconductors.

公开(公告)号：US20230412192A1

公开(公告)日：2023-12-21

申请号：US18460553

申请日：2023-09-03

Applicant: AtomBeam Technologies Inc.

Inventor： Joshua Cooper ,  Aliasghar Riahi ,  Charles Yeomans

IPC: H03M7/30 ,  G06N20/00

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.

公开(公告)号：US11838034B2

公开(公告)日：2023-12-05

申请号：US18303399

申请日：2023-04-19

Applicant: AtomBeam Technologies Inc.

Inventor： Joshua Cooper ,  Aliasghar Riahi ,  Mojgan Haddad ,  Razmin Riahi ,  Ryan Kourosh Riahi ,  Charles Yeomans

IPC: H03M7/30 ,  G06N20/00 ,  H04L9/00

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.

公开(公告)号：US11782879B2

公开(公告)日：2023-10-10

申请号：US17234007

申请日：2021-04-19

Applicant: AtomBeam Technologies Inc.

Inventor： Joshua Cooper ,  Charles Yeomans ,  Aliasghar Riahi ,  Gregory Caltabiano ,  Mojgan Haddad

IPC: G06F16/174 ,  G06F3/06

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

Abstract: A system and method for fast communication between processors on complex chips using encoding, wherein a training data set is used to find patterns and associated smaller indices, or codewords, which are stored in a reference codebook library, and where reconstruction and deconstruction algorithms are used to encode and decode data as it is received. The codebook and algorithms may be stored in the firmware of a semiconductor which enable reduced resources and cost when transmitting data between or among devices that utilize such semiconductors.

公开(公告)号：US20230195311A1

公开(公告)日：2023-06-22

申请号：US18178556

申请日：2023-03-06

Applicant: AtomBeam Technologies Inc.

Inventor： Joshua Cooper ,  Aliasghar Riahi ,  Mojgan Haddad ,  Ryan Kourosh Riahi ,  Razmin Riahi ,  Charles Yeomans

IPC: G06F3/06 ,  H03M7/30

CPC classification number: G06F3/0608 ,  G06F3/0623 ,  H03M7/6011 ,  G06F3/067 ,  H03M7/6005 ,  G06F3/0659

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.

公开(公告)号：US20230169042A1

公开(公告)日：2023-06-01

申请号：US17994359

申请日：2022-11-27

Applicant: AtomBeam Technologies Inc.

Inventor： Joshua Cooper ,  Aliasghar Riahi ,  Mojgan Haddad ,  Ryan Kourosh Riahi ,  Razmin Riahi ,  Charles Yeomans

IPC: G06F16/174 ,  G06F3/06

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

Abstract: A system and method for file type identification involving extraction of a file-print of a file, the file-print being a unique or practically-unique representation of statistical characteristics associated with the distribution of bits in the binary contents of the file, similar to a fingerprint. The file-print is then passed to a machine learning algorithm that has been trained to recognize file types from their file-prints. The machine learning algorithm returns a predicted file type and, in some cases, a probability of correctness of the prediction. The file may then be encoded using an encoding algorithm chosen based on the predicted file type.

公开(公告)号：US20220391099A1

公开(公告)日：2022-12-08

申请号：US17884470

申请日：2022-08-09

Applicant: AtomBeam Technologies Inc.

Inventor： Joshua Cooper ,  Aliasghar Riahi ,  Mojgan Haddad ,  Ryan Kourosh Riahi ,  Razmin Riahi ,  Charles Yeomans

IPC: G06F3/06 ,  H03M7/30

Abstract: A system and method for encoding data utilizing mismatch probability estimates. A training data set can be statistically analyzed to calculate a mismatch probability estimate which is the estimated frequency at which a data packet received during system runtime is not part of (i.e., a mismatch) the training data set. A plurality of tokens may be created, based on the mismatch probability estimate, to represent potential mismatched data that may be encountered during runtime, and an entropy encoder may generate codewords for the tokens using the mismatch probability estimate. An opcode, indicating a mismatch, may be generated and appended to the generated codewords to form a mismatch codeword. During runtime when a mismatch occurs, the system can retrieve a mismatch codeword and assign it to the mismatched data, making the encoder system robust against previously unencountered data.

公开(公告)号：US20220382458A1

公开(公告)日：2022-12-01

申请号：US17727913

申请日：2022-04-25

Applicant: AtomBeam Technologies Inc.

Inventor： Joshua Cooper ,  Aliasghar Riahi ,  Mojgan Haddad ,  Ryan Kourosh Riahi ,  Razmin Riahi ,  Charles Yeomans

IPC: G06F3/06 ,  H03M7/30

Abstract: A system and method for encoding data using a plurality of encoding libraries. Portions of the data are encoded by different encoding libraries, depending on which library provides the greatest compaction for a given portion of the data. This methodology not only provides substantial improvements in data compaction over use of a single data compaction algorithm with the highest average compaction, but provides substantial additional security in that multiple decoding libraries must be used to decode the data. In some embodiments, each portion of data may further be encoded using different sourceblock sizes, providing further security enhancements as decoding requires multiple decoding libraries and knowledge of the sourceblock size used for each portion of the data. In some embodiments, encoding libraries may be randomly or pseudo-randomly rotated to provide additional security.