Asymmetric Codebook Compression for Secure Data Reconstruction
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Solution Overview
Problem
The rapid growth of data storage demand outstrips the capacity to store it, and data transmission bandwidth is becoming a bottleneck, especially with the rise of multimedia data and the Internet of Things, necessitating a highly efficient encoding system with asymmetric encoding/decoding and distributed computing policy enforcement.
Innovation Solution
A system and method for data encoding using asymmetric codebooks that apply data manipulation rules during decoding to transform data into a different set, incorporating behavior appendices for network policy compliance, enabling efficient data compaction and encryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data compression is used to increase storage capacity, then storage efficiency improves, but the compression ratio is limited (roughly 2:1 for mixed data types) and cannot solve the global data storage problem
Solution Approach 1:
The patent applies asymmetry by using different codebooks for encoding and decoding. The encoder uses a first codebook to compress data, while the decoder uses a second, different codebook to decompress. This asymmetric approach enables much higher compression ratios (potentially 10:1 or more) compared to traditional symmetric compression methods, while still allowing lossless reconstruction of the original data.
2Reliability
If traditional symmetric encoding/decoding is used, then data can be reconstructed, but security is compromised because the original data can be obtained if the codebook is known
Solution Approach 1:
The patent uses asymmetric codebooks where the encoder has access to both the first codebook (for compression) and the second codebook (for secure reconstruction), while the decoder only has the second codebook. This creates a security layer where even if the decoder's codebook is compromised, the original data cannot be reconstructed without the encoder's first codebook, thus protecting against unauthorized access while maintaining reliable data reconstruction.
3Loss of information
If large data sets are transmitted, then complete data can be sent, but transmission bandwidth becomes a bottleneck
Solution Approach 1:
The patent segments the data transmission process by separating the large original data set into compressed representations using the asymmetric codebook system. Instead of transmitting the entire original data set, only the compressed codewords need to be transmitted, dramatically reducing bandwidth requirements while preserving the ability to reconstruct complete data at the receiving end using the appropriate codebook.
Data Source
AI summary
A system and methods for data compression with encryption using asymmetric codebooks, that utilizes machine learning to generate asymmetric encoder and decoder codebooks for data encoding and compression. The use of asymmetric codebooks enables a variety of data obfuscation techniques such that output data remains useful to the decoder and any downstream entity, while concealing the original sourceblock data. The asymmetric codebooks may be utilized in reverse order to restore the original data as needed, facilitating a two-way reversible operation.