Codebook-Based Data Compaction With Asymmetric Decoding Security
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Solution Overview
Problem
The rapid growth of data storage demand, exceeding the capacity for physical storage and transmission bandwidth, necessitates a highly efficient data encoding method that includes asymmetric encoding/decoding and distributed computing policy enforcement to address storage and transmission limitations.
Innovation Solution
A system and method for highly efficient data encoding that involves asymmetric encoding/decoding, where original data is encoded using a codebook and transformed during decoding with data manipulation rules, and distributed computing policy enforcement through a behavior appendix in the codebook, ensuring secure and efficient data handling across networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data compression is used to increase storage capacity, then storage efficiency improves, but data integrity deteriorates due to lossy compression or the solution is insufficient due to limited compression ratios
Solution Approach 1:
The patent segments data into fixed-length source blocks and encodes them using discrete codewords from a codebook. This segmentation approach allows for lossless compression by representing repeated source blocks with shorter codeword references, thereby maintaining data integrity while improving storage efficiency.
Solution Approach 2:
The patent performs preliminary actions by pre-defining a codebook containing multiple source blocks and their corresponding codewords before actual data encoding. This preliminary preparation enables efficient compression during data storage while ensuring that original data can be perfectly reconstructed through decoding, thus maintaining data integrity.
2Reliability
If asymmetric encoding/decoding with data manipulation rules is implemented, then security improves through double security mechanism, but device complexity increases due to additional decoding steps
Solution Approach 1:
The patent merges data manipulation rules (such as encryption keys or transformation parameters) directly into the codebook structure. By combining the codebook and manipulation rules into a single integrated component, the system achieves enhanced security without proportionally increasing decoder complexity, as the same codebook used for compression also provides the security layer.
3Reliability
If codebook transmission is required for decoding, then data security improves, but transmission bandwidth increases due to additional data to be sent
Solution Approach 1:
The patent uses copying by transmitting references to source blocks rather than the actual source block data. The codebook containing source blocks can be stored locally at both encoder and decoder, eliminating the need to transmit the codebook itself. Only compact codeword references are transmitted, achieving security through codebook possession while minimizing transmission bandwidth usage.
Data Source
AI summary
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.