Digital Object Fingerprinting for High-Security Tracking
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Solution Overview
Problem
There is a need for systems and methods to identify, track, monitor, and filter digital objects in high-security computing environments, where only trusted digital objects should be stored, and existing technologies lack effective solutions for determining the trustworthiness of digital objects.
Innovation Solution
A system and method using digital object fingerprints, where fingerprints are generated based on the content of digital objects, stored, and compared to identify and track digital objects, with client systems transmitting fingerprints and identifiers to associate with digital objects or assets, enabling monitoring and filtering of files and assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital object identification systems are implemented in high-security computing environments, then security and trustworthiness of digital objects are improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent extracts the essential identifying characteristics of digital objects into fingerprints, separating the identification function from the entire digital object. This allows complex security verification to be reduced to simple fingerprint comparison, improving reliability while reducing operational complexity.
Solution Approach 2:
The patent transforms digital objects into a different parameter space by generating fingerprints through hash functions. This parameter transformation enables efficient comparison and identification without dealing with the original complexity of the digital objects themselves.
2Measurement precision
If comprehensive tracking and monitoring of digital objects is implemented, then security control and identification accuracy are improved, but data storage requirements and processing overhead increase
Solution Approach 1:
The patent extracts only the essential identifying features (fingerprints) from digital objects for storage and comparison, rather than storing or processing the entire objects. This dramatically reduces data storage requirements while maintaining high identification accuracy through the use of cryptographic hash functions.
3Productivity
If fingerprint-based identification system is deployed across multiple client systems, then tracking capability and security monitoring are improved, but network communication overhead and processing time increase
Solution Approach 1:
The patent uses fingerprint copies (hash values) of digital objects for identification and tracking purposes. These compact representations can be rapidly transmitted and compared across networked systems, enabling comprehensive tracking capability with minimal network overhead and processing time compared to transmitting or analyzing the original digital objects.
Data Source
AI summary
The present invention relates to, among other things, the use of digital object fingerprints to account for digital objects.