Encrypted Data Compaction Using Asymmetric Encoding and Codebooks
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Solution Overview
Problem
The rapid growth of data storage demand, exceeding the capacity of physical storage solutions and leading to bottlenecks in data transmission, necessitates a highly efficient encoding method that includes asymmetric encoding/decoding and distributed computing policy enforcement to manage and secure large datasets effectively.
Innovation Solution
A system and method for highly efficient data encoding that employs asymmetric encoding/decoding, where original data is transformed using data manipulation rules during decoding, and incorporates distributed computing policy enforcement through a behavior appendix in the codebook, ensuring double security and compliance with network rules, limits, and policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data compression is applied to increase storage capacity, then storage efficiency improves, but data security deteriorates because compressed data requires decryption keys that may be compromised
Solution Approach 1:
The patent segments the data transformation process into two independent stages: compression encoding and cryptographic encoding. The compression encoder converts data to a compact form, then a separate cryptographic encoder applies encryption. This segmentation allows each component to specialize, achieving both high compression ratios and strong security without requiring the compression scheme itself to be secret.
Solution Approach 2:
The patent introduces an intermediary cryptographic encoding layer between the compression encoder and the stored/transmitted data. This intermediary layer applies a secure cryptographic transformation that is independent of the compression algorithm, providing security through well-established cryptographic principles rather than through secrecy of the compression method.
2Quantity of substance
If traditional compression methods are used to reduce data size, then storage requirements decrease, but transmission bandwidth efficiency worsens due to the overhead of encrypting and managing large datasets
Solution Approach 1:
The patent segments the data processing workflow so that compression and encryption are performed as separate, optimized stages. By compressing data first to minimal size, then applying cryptographic encoding to the already-compressed form, the system minimizes the amount of data that needs to be transmitted, reducing bandwidth consumption and transmission energy.
Solution Approach 2:
The patent changes the parameter of data representation by using a compression algorithm that transforms data into a highly compact form before cryptographic encoding. This parameter change (from original data format to compressed format) significantly reduces the volume of data requiring transmission, thereby improving bandwidth efficiency.
3Ease of operation
If symmetric encoding is used for data compression, then decoding simplicity improves, but security deteriorates because the same key is required for both encoding and decoding
Solution Approach 1:
The patent applies asymmetry by using different cryptographic keys for encoding and decoding operations. The cryptographic encoder uses one key to encrypt the compressed data, while the cryptographic decoder uses a different key to decrypt it. This asymmetric approach maintains security while preserving decoding simplicity through the use of standard cryptographic protocols.
4Quantity of substance
If physical storage capacity is increased to meet growing data demands, then storage availability improves, but cost and scalability worsen due to manufacturing limitations
Solution Approach 1:
The patent changes the fundamental parameter of data storage by transforming data into a highly compressed cryptographic form before storage. This parameter change (from storing raw or lightly-compressed data to storing densely-compressed encrypted data) dramatically increases the effective storage capacity achievable from existing physical storage infrastructure, eliminating the need for continuous expansion of physical storage facilities.
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.