Hashgraph Media Metadata Verification with Selective Hash Disclosure
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Solution Overview
Problem
Existing digital media verification systems face privacy risks due to direct hash exposure on public ledgers and lack robust metadata validation, making them susceptible to media-of-media attacks and inadequate for detecting manipulations.
Innovation Solution
A dual-trust-key architecture separates metadata authentication from media hash disclosure, using Hedera HashGraph for tamper-proof metadata and optional public media hash recording, ensuring privacy and security through selective disclosure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If media file hash is stored directly on the public distributed ledger, then verification transparency is improved, but privacy security deteriorates due to exposure of media hashes enabling government censorship and correlation risks
Solution Approach 1:
The patent segments the verification data into two separate components: a public metadata hash stored on the distributed ledger for transparency, and a private media file hash stored locally for security. This segmentation allows verification without exposing sensitive media hashes to the public ledger, resolving the contradiction between transparency and privacy security.
Solution Approach 2:
The patent introduces a metadata file as an intermediary between the media file and the public ledger. The metadata file contains a hash reference to the media file but stores only non-sensitive verification data on the ledger. This intermediary enables verification transparency while protecting the actual media hash from public exposure.
2Ease of manufacture
If traditional hash-based authentication using EXIF data is used, then implementation simplicity is improved, but detection capability deteriorates against media-of-media attacks and deepfakes
Solution Approach 1:
The patent moves from traditional 2D image verification to 3D spatial verification by adding depth information and geometric relationships between media elements. This dimensional expansion enables detection of media-of-media attacks and deepfakes that traditional EXIF data cannot detect, while maintaining implementation simplicity through automated cryptographic validation.
Data Source
AI summary
This invention presents a dual-layer verification system for authenticating digital media using HashGraph distributed ledger technology. By separately hashing and recording metadata on-chain while keeping media hashes off-chain, the system ensures authenticity while allowing controlled disclosure of the media hash. It supports optional metadata embedding within media files, re-hashing for integrity verification, and browser-based trust links for real-time validation. Rather than preventing deepfakes or deceptive content, this technology establishes a trusted repository and verification framework, providing a reliable news feed of authenticated media. This system enhances media integrity for applications in social media, journalism, and forensic investigations.