Encrypted Data Compaction for Secure High-Ratio Compression
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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 breakthrough in data storage technology, particularly for multimedia data where compression methods either degrade quality or are inefficient.
Innovation Solution
A system and method for highly efficient data encoding that includes asymmetric encoding/decoding and distributed computing policy enforcement, allowing for double security through codebook-based encoding and decoding with data manipulation rules, and enabling efficient data compaction and encryption, especially suitable for genomic data and low-latency applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional data compression methods are used, then storage capacity is increased, but data security is compromised and compression ratios are limited
Solution Approach 1:
The patent segments the compression and encryption processes into distinct stages: a compression stage that reduces data size and a separate encryption stage that secures the compressed data. This segmentation allows each process to optimize for its specific function without compromising the other, achieving both high compression ratios and strong security.
Solution Approach 2:
The patent introduces an intermediary encrypted layer between the compressed data and storage. The compressed data is encrypted using cryptographic algorithms before being stored, creating a secure intermediate state that protects the compressed data while maintaining the space efficiency benefits of compression.
2Quantity of substance
If physical storage capacity is increased, then data storage demand is met, but transmission bandwidth requirements increase and manufacturing capacity is exceeded
Solution Approach 1:
The patent applies compression as a preliminary action before data storage and transmission. By compressing data beforehand, the volume of data requiring transmission and storage is reduced, thereby decreasing bandwidth consumption and storage requirements before the data enters the main storage and transmission infrastructure.
3Loss of information
If lossless compression is used, then data integrity is maintained, but compression ratio is limited
Solution Approach 1:
The patent employs parameter changes by using different compression algorithms and encryption parameters based on data type and security requirements. This allows optimization of compression ratios for different data categories while maintaining appropriate security levels, achieving higher overall compression efficiency without sacrificing data integrity.
Data Source
AI summary
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.