System and method for data compaction and security with extended functionality

Patent metadata

Field	Value
Publication number	US-12224775-B2
Application number	US-202318172337-A
Country	US
Kind code	B2
Filing date	Feb 22, 2023
Priority date	Oct 30, 2017
Publication date	Feb 11, 2025
Grant date	Feb 11, 2025

Abstract

A system and method for highly efficient encoding of data that includes extended functionality for asymmetric encoding/decoding and network policy enforcement. In the case of asymmetric encoding/decoding the original data is encoded by an encoder according to a codebook and sent to a decoder, but the output of the decoder depends on data manipulation rules applied at the decoding stage to transform the decoded data into a different data set from the original data. In the case of network policy enforcement, a behavior appendix into the codebook, such that the encoder and/or decoder at each node of the network comply with network behavioral rules, limits, and policies during encoding and decoding.

First claim

What is claimed is:

1. A system for data conversion during decoding of data, comprising:
a computing device comprising a processor and a memory;
a codebook generator comprising a first plurality of programming instructions stored in the memory which, when operating on the processor, causes the computing device to:
generate a codebook comprising a plurality of sourceblocks from training data; and
transmit the codebook to a decoder; and
the decoder comprising a second plurality of programming instructions stored in the memory which, when operating on the processor, causes the computing device to:
receive encoded data which has been encoded using the codebook;
decode the encoded data using the codebook by identifying the sourceblock in the codebook to which each codeword of the encoded data refers;
apply a rule to each sourceblock of the decoded data with which the rule is associated in the codebook to convert the sourceblock according to the rule; and
output the decoded data as a sequence of its converted and unconverted sourceblocks.

2. The system of claim 1 , wherein the rule is a mapping or transform rule, and the output of the decoded data is a mapping or transformation of the encoded data.

3. The system of claim 1 , wherein the rule is a network behavior rule, and the network behavior rule determines whether the sourceblock is decoded or not.

4. The system of claim 1 , wherein the rule is a protocol formatting rule, and the output of the decoded data is protocol formatted data.

5. A method for data conversion during decoding of data, comprising the steps of:
generating a codebook comprising a plurality of sourceblocks from training data, using a codebook generator operating on a computing device;
transmitting the codebook to a decoder operating on the same or a different computing device;
receiving, at the decoder, encoded data which has been encoded using the codebook;
decoding the encoded data using the codebook by identifying the sourceblock in the codebook to which each codeword of the encoded data refers;
applying a rule to each sourceblock of the decoded data with which the rule is associated in the codebook to convert the sourceblock according to the rule; and
outputting the decoded data as a sequence of its converted and unconverted sourceblocks.

6. The method of claim 5 , wherein the rule is a mapping or transform rule, and the output of the decoded data is a mapping or transformation of the encoded data.

7. The method of claim 5 , wherein the rule is a network behavior rule, and the network behavior rule determines whether the sourceblock is decoded or not.

8. The method of claim 5 , wherein the rule is a protocol formatting rule, and the output of the decoded data is protocol formatted data.

9. A system for data conversion during decoding of data, comprising:
a first computing device comprising a first processor and a first memory;
a second computing device comprising a second processor and a second memory;
a codebook generator comprising a first plurality of programming instructions stored in the first memory which, when operating on the first processor, causes the first computing device to:
generate a codebook comprising a plurality of sourceblocks from training data;
transmit the codebook to a decoder operating on the second computing device; and
the decoder comprising a second plurality of programming instructions stored in the second memory which, when operating on the second processor, causes the second computing device to:
receive encoded data which has been encoded using the codebook;
decode the encoded data using the codebook by identifying the sourceblock in the codebook to which each codeword of the encoded data refers;
apply a rule to each sourceblock of the decoded data with which the rule is associated in the codebook to convert the sourceblock according to the rule; and
output the decoded data as a sequence of its converted and unconverted sourceblocks.

10. The system of claim 9 , wherein the rule is a mapping or transform rule, and the output of the decoded data is a mapping or transformation of the encoded data.

11. The system of claim 9 , wherein the rule is a network behavior rule, and the network behavior rule determines whether the sourceblock is decoded or not.

12. The system of claim 9 , wherein the rule is a protocol formatting rule, and the output of the decoded data is protocol formatted data.

Assignees

• Atombeam Technologies Inc

Inventors

• Cooper Joshua
• Riahi Aliasghar
• Haddad Mojgan
• Riahi Ryan Kourosh
• Riahi Razmin
• Yeomans Charles

Classifications

• H03M7/6005

  Decoder aspects · CPC title

• G06N20/00

  Machine learning · CPC title

• H03M7/3079

  Context modeling · CPC title

• H03M7/405

  Tree adaptation · CPC title

• G06N5/01

  Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound · CPC title