HRPNC Binary Variants for Secure Air-Gapped Data Transfer
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Solution Overview
Problem
Computing systems face challenges in securely transferring data due to air-gapped configurations and unstable network connections in remote environments, leading to vulnerabilities and data corruption.
Innovation Solution
Implementing human readable prime number compression (HRPNC) by generating variants of binary objects and applying salt values to accelerate compression, allowing for secure data transfer using alternative channels and reducing computational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is transferred through network connections in remote environments, then data transfer capability is improved, but data integrity deteriorates due to unstable connections and corruption
Solution Approach 1:
The patent applies preliminary compression and encoding to data before transfer, creating a more robust representation that can withstand transmission errors. By pre-processing the data into a compressed format with error detection capabilities, the system prepares the data to survive the unstable transmission environment.
Solution Approach 2:
The patent introduces checksums and verification mechanisms as intermediaries between the data and the transmission channel. These intermediaries detect and correct errors that occur during transmission, acting as a buffer between the unstable network and the data integrity requirement.
2Quantity of substance
If compression algorithms are applied to binary objects, then data size is reduced, but computational complexity increases
Solution Approach 1:
The patent segments the compression process into distinct phases: initial rapid compression to achieve a target size, followed by optional refinement stages. This segmentation allows the system to prioritize speed in the first phase while providing an option for quality improvement in later phases, managing computational complexity through temporal distribution.
Solution Approach 2:
The patent dynamically adjusts compression parameters based on the stage of processing and resource availability. By changing parameters such as compression ratio targets, algorithm selection, and processing intensity, the system optimizes the balance between computational complexity and compression effectiveness for different scenarios.
3Reliability
If multiple variants of binary objects are generated for compression, then compression success rate is improved, but processing time increases
Solution Approach 1:
The patent generates a limited number of variants (e.g., 3-5) rather than exhaustively generating all possible variants. This partial action approach achieves sufficient compression success rate by sampling the most promising variants, accepting that not all possibilities are explored in exchange for reduced processing time.
Solution Approach 2:
The patent implements periodic checking during the compression process to determine whether to continue generating variants or to accept the current result. By periodically evaluating compression success and resource consumption, the system dynamically decides when to stop variant generation, balancing success rate with time constraints.
Data Source
AI summary
Human readable prime number compression (HRPNC) for binary variations, including: generating, in response to a first time threshold being reached during HRPNC of a binary object, one or more variants of the binary object; performing HRPNC on each of the one or more variants of the binary object; and determining, in response to a second time threshold being reached during HRPNC of the one or more variants of the binary object, whether HRPNC of any of the one or more variants has reached a completeness threshold.