Blockchain Video Authenticity Verification
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Solution Overview
Problem
Video recordings, especially those captured by automobile data recorders or security cameras, can be tampered with, compromising their authenticity and reliability as evidence.
Innovation Solution
A method is introduced that applies security labels to video data by generating timestamps and hash values, which are then uploaded to a blockchain to ensure tamper-proofing and authenticity verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video recordings are stored and used as evidence, then their utility for legal purposes is improved, but their authenticity can be compromised by tampering
Solution Approach 1:
The patent applies preliminary action by generating a hash value of the video data and uploading it to the blockchain before any potential tampering occurs. This preemptive measure creates a permanent, unverifiable record of the video's original state, making any subsequent modification detectable and the video unusable as evidence if tampered with.
Solution Approach 2:
The patent uses the blockchain as an intermediary mechanism between the video data and the verification process. The blockchain stores the hash value and provides a decentralized, immutable record that mediates trust between the video creator and the verification authority, eliminating the need for centralized control while ensuring authenticity.
2Reliability
If timestamps and hash values are generated and uploaded to blockchain, then video authenticity is improved, but system complexity increases
Solution Approach 1:
The patent applies copying by creating a hash value, which is a condensed mathematical representation of the video data. Instead of storing the entire video on the blockchain (which would be complex and inefficient), the system copies only the essential integrity information (the hash) to the blockchain, simplifying the system while maintaining verification capability.
Solution Approach 2:
The patent extracts the essential verification information (hash value and timestamp) from the video data and separates it from the actual video content. This extraction allows the blockchain to store only the critical authenticity metadata rather than the complete video, reducing system complexity and storage requirements while maintaining reliability.
Data Source
AI summary
A method of labeling video to provide authentication acquires an instruction to apply timestamp labeling. Each recorded video is labeled with a timestamp based on the instruction. The first mark information is generated based on a content of each recorded video as a hash value and is uploaded into a blockchain. Second mark information is generated based on a content of at least one video under investigation. By comparing the first mark information and the second mark information, a video under investigation is found to be undistorted and authentic when the first mark information is the same as the second mark information. The video under investigation is found to be non-authentic when the first mark information is different from the second mark information. A terminal device and a computer readable storage medium applying the method are also disclosed.