HRPNC Metadata Gating for Secure Binary Decompression
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Solution Overview
Problem
Computing systems face challenges in sending or receiving data due to their configurations or security considerations, particularly in air-gapped systems and remote environments with unstable network connections, leading to vulnerabilities and data transfer issues.
Innovation Solution
The method involves decompressing human readable prime number compression (HRPNC) objects using metadata, which includes receiving a compressed binary object and metadata, decompressing the metadata to generate metadata, and determining if usage requirements are satisfied before decompressing the binary object, allowing conditional decompression based on system capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is transferred to air-gapped systems or remote environments, then data accessibility is improved, but security vulnerabilities and data transfer reliability worsen
Solution Approach 1:
The data transfer process is segmented into multiple stages: compression stage (where data is compressed before transfer), transmission stage (where only compressed data is sent), and decompression stage (where data is decompressed only when usage requirements are satisfied). This segmentation allows the system to maintain security during transfer while enabling reliable access when needed, resolving the contradiction between accessibility and security/reliability.
Solution Approach 2:
Data is compressed in advance before transfer to air-gapped systems or remote environments. The compressed data is transmitted, and only after verifying usage requirements are satisfied does the system decompress the data. This preliminary compression action reduces the data size for secure transfer while ensuring reliability by only decompressing when necessary, thus resolving the accessibility versus security/reliability contradiction.
2Ease of operation
If compressed data is decompressed without checking usage requirements, then data availability is improved, but resource waste and system overhead increase
Solution Approach 1:
The system performs a preliminary check of usage requirements before initiating decompression. The metadata is first decompressed and examined to determine whether the binary object satisfies the required usage criteria. Only if the requirements are satisfied does the system proceed to decompress the actual binary data. This preliminary verification action prevents unnecessary decompression and associated resource consumption, resolving the contradiction between data availability and resource efficiency.
Solution Approach 2:
Metadata acts as an intermediary between the compressed binary object and the decompression process. The metadata contains usage requirement information that mediates the decision to decompress. By checking the metadata first, the system can determine whether decompression is necessary before consuming computational resources, thus resolving the contradiction between ensuring data availability and avoiding resource waste.
3Speed
If metadata is decompressed before checking usage requirements, then decompression speed is improved, but security risks and data integrity issues increase
Solution Approach 1:
The system performs a preliminary decomposition of metadata to extract usage requirement information before decompressing the main binary object. This allows the system to verify that the binary object satisfies usage requirements before allocating resources for full decompression. The preliminary metadata decomposition enables efficient usage verification while maintaining security by preventing decompression of potentially unauthorized data, thus resolving the contradiction between speed and reliability.
Solution Approach 2:
The decompression process is segmented into two distinct phases: first decompressing and examining the metadata to verify usage requirements, then only decompressing the binary object if requirements are satisfied. This segmentation ensures that the faster metadata decomposition is performed first for verification purposes, while the more resource-intensive binary object decomposition is performed only when necessary and safe, resolving the contradiction between decompression speed and data integrity/security.
Data Source
AI summary
Decompressing human readable prime number compression (HRPNC) objects using metadata, including: receiving a compressed binary object and compressed metadata, wherein the compressed binary object comprises a HRPNC of a binary object and wherein the compressed metadata comprises a HRPNC of metadata associated with the binary object; decompressing the compressed metadata to generate the metadata; and determining, based on the metadata, whether one or more usage requirements for the binary object indicated in the metadata are satisfied.