Media File Integrity Verification via TEE Hash Provenance
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Solution Overview
Problem
The widespread dissemination of misinformation through edited or tampered media files on the internet, such as 'deep fakes,' poses a challenge in distinguishing authentic from false content, as existing methods rely on complex image, video, or audio analyses, which are not universally effective.
Innovation Solution
A system and method that utilize a Trusted Execution Environment (TEE) on user devices to generate a unique digital provenance for media files, recording their creation and entry into a private network in a distributed ledger, allowing servers to monitor and verify the integrity of media files by comparing hash values, thereby identifying suspicious modifications without relying on complex analyses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex image, video, or audio analyses are used to detect tampered media files, then detection capability is improved, but system complexity and computational resources increase
Solution Approach 1:
The system performs preliminary actions by generating hash values of media files at the source device before upload and storing them in a distributed ledger. This preliminary hashing eliminates the need for complex analysis during detection, as integrity verification simply compares current hash values against stored baseline values, resolving the contradiction between detection capability and system complexity.
Solution Approach 2:
The patent replaces complex mechanical/image/video/audio analysis systems with a cryptographic hash-based verification system. Instead of using sophisticated algorithms to analyze media content for tampering, the system uses hash value comparison, which is computationally efficient and maintains high detection accuracy without requiring complex analysis infrastructure.
2Reliability
If hash values are stored in a distributed ledger for every media file, then verification reliability is improved, but storage requirements and network overhead increase
Solution Approach 1:
The system extracts only the essential integrity information (hash values) from the original media files and stores these compact representations in the distributed ledger. This extraction approach maintains verification reliability while dramatically reducing storage requirements, as hash values are fixed-length strings regardless of the size of the original media file.
Solution Approach 2:
The system creates simplified copies (hash values) of the original media files for storage in the distributed ledger. These hash copies serve as unique fingerprints that enable verification without requiring storage of the actual media content, thus maintaining reliability while minimizing data volume in the ledger.
Data Source
AI summary
System and methods are provided for determining whether a media file in a private network has been suspiciously modified. In embodiments, a server controlled by a service provider, for example, can generate a digital provenance for a media file from a trusted device and immutably store a hash value representing the digital provenance of the media file. Subsequent instances of the media file that are detected within the private network, in embodiments, are evaluated by the server using the digital provenance of the media file in order to identify changes to the content of the media file. In further embodiments, the server can modify the content of a suspiciously modified media file to include a marker that disclaims the content and/or otherwise indicates that the media file has been modified.