Asymmetric Data Encoding for Compression and Double Security
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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 data effectively.
Innovation Solution
A system and method for highly efficient data encoding that employs asymmetric encoding/decoding, where original data is encoded using a codebook and transformed at the decoding stage through data manipulation rules, and incorporates distributed computing policy enforcement by integrating behavioral rules into 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 is improved, but transmission bandwidth requirements are not sufficiently reduced and data security is compromised
Solution Approach 1:
The invention segments the encoding process into two distinct phases: compression encoding that reduces data size, and cryptographic encoding that secures data. This segmentation allows each phase to optimize for its specific function without compromising the other, achieving both compression and security simultaneously
Solution Approach 2:
The patent introduces an intermediary cryptographic encoding layer between the compression process and data storage/transmission. This intermediary layer transforms compressed data into encrypted form, ensuring that even if compression reveals patterns, the actual data remains secure through the intermediary encryption step
2Quantity of substance
If physical storage capacity is increased to meet demand, then storage availability is improved, but transmission bandwidth bottlenecks persist and infrastructure costs increase
Solution Approach 1:
The invention fundamentally changes the parameter of data representation by applying cryptographic encoding that transforms data into a more compact encrypted form. This parameter change reduces the volume of data requiring transmission while maintaining full reconstructability, directly addressing bandwidth efficiency
3Reliability
If asymmetric encoding/decoding is implemented with data manipulation rules, then security is enhanced, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining manipulation rules and appending them to the codebook before the encoding process begins. This preliminary preparation allows the asymmetric encoding to follow a predetermined, systematic path, reducing the complexity of real-time decision-making during encoding operations
Solution Approach 2:
The system achieves self-service through the behavior appendix that enables the encoding/decoding system to automatically enforce network policies and manipulation rules without external intervention. The codebook with appended rules serves itself by containing all necessary instructions for secure asymmetric transformation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides double security by ensuring the final data set can only be obtained if both the codebook and decoding manipulations are known, and allows for independent enforcement of network policies, significantly reducing data transmission requirements and enhancing security.
Implementation Method 1
applying a logical XOR operation to the data block
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.