HRPNC Metadata Compression 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
The method involves performing human readable prime number compression (HRPNC) on binary objects to generate compressed metadata, which includes encoding usage requirements such as size and hardware needs, allowing for secure data transfer and decompression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is transferred to air-gapped systems using physical storage media or temporary network connections, then data transfer is enabled, but system security is compromised and vulnerability increases
Solution Approach 1:
The patent introduces a secure interface as an intermediary component that mediates data transfer to air-gapped systems. This interface includes a processor and memory that handle compressed data and metadata, allowing data to be transferred without compromising the air-gapped system's security isolation. The intermediary manages the decomposition and execution of compressed data while maintaining the security boundary.
2Quantity of substance
If large amounts of data are transferred over unstable network connections in remote environments, then data transfer is attempted, but data corruption and transfer failure increase
Solution Approach 1:
The patent segments data into compressed binary objects with associated metadata that describes usage requirements. This segmentation allows the data to be broken into manageable units that can be transferred more reliably over unstable connections. The metadata provides information needed to properly handle and verify each segment, reducing corruption risks.
Solution Approach 2:
The system performs preliminary compression of data before transfer, reducing the overall data volume that needs to be transmitted over unstable network connections. By compressing data in advance and preparing metadata with usage requirements, the system minimizes exposure to network errors and reduces the likelihood of corruption during transmission.
3Quantity of substance
If compressed binary objects are transferred without metadata, then transfer size is reduced, but usage requirements cannot be communicated to recipients
Solution Approach 1:
The patent merges the compressed binary object with its metadata into a unified data structure that can be transferred together. The metadata, which contains usage requirements such as memory needs and processor requirements, is combined with the compressed data in a way that maintains both compression efficiency and information completeness. This allows recipients to receive both the compressed data and the necessary usage information in a single transfer.
4Ease of operation
If users must manually enter long binary strings in air-gapped environments, then data input is possible, but user error and difficulty increase
Solution Approach 1:
The patent uses optical character recognition (OCR) technology to create an optical copy of the compressed data representation. Instead of requiring users to manually type long binary strings, the system captures an image of the data display and uses OCR to automatically convert it into usable digital form. This copying approach dramatically reduces user error and makes data input feasible in air-gapped environments where keyboards may not be available.
Data Source
AI summary
Generating human readable prime number compression (HRPNC) metadata for usage requirements, including: performing HRPNC of a binary object to generate a compressed binary object; generating metadata describing one or more usage requirements for the binary object; and performing HRPNC on the metadata to generate compressed metadata.