TIDAS Data Security Mechanism
Background and Challenges
Carbon footprint data faces multiple authenticity challenges during application:
- Data can be easily tampered with, leading to information distortion
- Difficulty in tracing change history
- High cost of traditional verification methods
- Lack of common trust foundation in multi-party collaboration
These challenges not only affect data value but may also lead to compliance risks and trust crises.
Blockchain-Based Data Tamper-Proof Mechanism
Blockchain, with its core features, provides an ideal solution for data tamper-proofing:
- Immutability: Chain structure combined with cryptography ensures data is difficult to alter once recorded
- Distributed Architecture: Eliminates single-point tampering risks
- Timestamp Mechanism: Provides indisputable chronological proof
- Consensus Mechanism: Ensures consistent recognition of data status among network participants
TIDAS Working Mechanism
TIDAS builds an efficient data trust mechanism based on the Tiangong data platform and blockchain technology:
Process Design
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Data Submission and Review
- Contributors submit original data to the Tiangong platform
- Platform review ensures data complies with TIDAS standards
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Hash On-Chain
- Calculate hash values of processed data
- Write hashes to blockchain and obtain transaction credentials
- Associate stored data content with transaction hashes
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Verification Mechanism
- Users obtain data and transaction hashes
- Recalculate hash values of obtained data
- Compare with blockchain records to verify integrity
Technical Features
- Lightweight Design: Only hashes on-chain, balancing performance and cost
- Dual Protection: Combines platform management with blockchain tamper-proofing
- Privacy Protection: Original data not directly exposed
- Open Verification: Supports independent third-party verification
Practical Application
We have collaborated with Ant Chain to develop a blockchain-based trusted solution for carbon footprint data, providing strong guarantees for the authenticity of carbon footprint data.