Segmented Blockchain Storage for Tamper-Resistant Surveillance Video
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Solution Overview
Problem
Existing surveillance video systems face challenges in protecting video data from malicious deletion and tampering, leading to storage burdens and privacy concerns due to centralized storage and lack of tamper-resistant mechanisms.
Innovation Solution
A blockchain-based system that splits surveillance video into blocks, randomly distributes them across the network, records hash values and node information, and uses smart contracts to ensure secure and decentralized storage without redundant backups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video files are stored at fixed storage addresses in centralized storage, then storage management is simple, but video data is vulnerable to malicious deletion and tampering
Solution Approach 1:
The patent divides video files into multiple video-file blocks and distributes them across different nodes in the blockchain network. Each block is stored at different locations rather than keeping the complete video at a single fixed address, making it resistant to malicious deletion while maintaining data integrity through distributed storage.
Solution Approach 2:
The patent introduces a distributed hash table and smart contracts as intermediaries between the storage system and users. The distributed hash table maps video file information to storage locations, while smart contracts automatically manage storage operations, providing a complex but secure intermediary layer that protects against tampering.
2Reliability
If video files are split and distributed across blockchain network nodes, then resistance to malicious deletion is improved, but storage system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where the system automatically manages the complexity of distributed storage. Smart contracts automatically handle video file splitting, distribution, and retrieval operations without requiring manual intervention, making the complex distributed system appear simple to users while maintaining high reliability.
Solution Approach 2:
The patent incorporates feedback mechanisms through the distributed hash table that continuously tracks the location and status of video blocks across the network. This feedback system allows the network to automatically locate and retrieve video blocks from appropriate nodes, managing the complexity of distributed storage through real-time information feedback.
3Reliability
If complete video data is stored at each node for backup, then data redundancy is improved, but overall storage burden becomes overwhelming
Solution Approach 1:
The patent segments video files into multiple blocks and distributes them across different nodes rather than replicating complete video copies at each node. This segmentation approach provides redundancy through distribution while avoiding the exponential growth of total data volume that would occur with full replication.
Solution Approach 2:
The patent applies local quality by having each node store only specific video blocks relevant to its function, rather than storing complete video data. The distributed hash table ensures that each node has the appropriate local copy of video blocks it needs to serve, optimizing storage efficiency while maintaining backup capability.
4Measurement precision
If index table stores camera device information for video verification, then video integrity verification is improved, but privacy protection deteriorates due to malicious node access
Solution Approach 1:
The patent extracts sensitive camera device information from the index table and stores it separately in a secure manner. The index table retains only the minimum necessary information for video verification, while detailed device identifiers and sensitive data are extracted and protected through blockchain's cryptographic mechanisms, reducing privacy leakage risk while maintaining verification accuracy.
Solution Approach 2:
The patent introduces cryptographic hash values and blockchain smart contracts as intermediaries between the index table and camera device information. These intermediaries enable verification of video authenticity through hash comparison without exposing sensitive device details, allowing accurate verification while protecting privacy through the intermediary layer.
Data Source
AI summary
The present invention relates to a blockchain-based system and method for preventing unauthorized deletion of surveillance video, the system at least comprising: a plurality of camera components, for generating surveillance video; at least one video-recording node, for connecting to a blockchain network and randomly generating a key pair, splitting the video file received from the camera components into a plurality of video-file blocks and randomly sending them to participation nodes across the blockchain network for storage, and recording hash values of the stored video files and node information; and a blockchain network device, for updating the hash values of the video files uploaded by the video-recording nodes based on a smart contract. In the present invention, uploading and storing time for camera-videos is recorded by the smart contract as tamper-resistant time reference for law enforcement, protecting video data from malicious deletion at video-recording nodes without the need of redundant space.