A Management Method for Trusted Data in Blockchain

By constructing a four-layer architecture and an enhanced consensus mechanism, the problems of privacy protection, consensus mechanism adaptability, and cross-chain collaboration in blockchain trusted data management are solved, achieving efficient data privacy protection and value mining, and improving the security and efficiency of the system.

CN122093404APending Publication Date: 2026-05-26SHANGHAI SHIYUE COMPUTER TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI SHIYUE COMPUTER TECH CO LTD
Filing Date
2026-02-24
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing blockchain technologies suffer from several problems in trusted data management, including insufficient flexibility in privacy protection, poor adaptability of consensus mechanisms, difficulties in cross-chain data collaboration, and conflicts between data value mining and privacy protection. Furthermore, federated learning suffers from a single contribution evaluation method and a rigid incentive mechanism, leading to low efficiency.

Method used

A four-layer architecture is constructed, consisting of a privacy enhancement layer, a dynamic consensus layer, a cross-chain collaboration layer, and a value mining layer. It employs zero-knowledge proofs, homomorphic encryption, differential privacy dynamic noise injection, and blockchain key sharding management. An enhanced adaptive consensus switching mechanism is deployed, a cross-chain mapping network is built, and an enhanced federated learning framework is introduced.

Benefits of technology

It achieves more flexible and efficient privacy protection, more intelligent consensus mechanism response, enhanced cross-chain collaboration capabilities, more accurate data value mining, increased node participation enthusiasm, and more precise incentive mechanisms, significantly improving the system's security and efficiency.

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Abstract

This invention discloses a management method for trusted blockchain data, belonging to the field of trusted data technology, comprising the following steps: S1, constructing a four-layer architecture of "privacy enhancement layer - dynamic consensus layer - cross-chain collaboration layer - value mining layer," with each layer achieving collaborative linkage through intelligent interfaces; S2, the privacy enhancement layer adopts a scheme integrating zero-knowledge proof, homomorphic encryption, differential privacy dynamic noise injection, and blockchain key sharding management; S3, deploying an enhanced adaptive consensus switching mechanism in the dynamic consensus layer; S4, constructing a cross-chain mapping network based on a distributed hash table in the cross-chain collaboration layer; S5, introducing an enhanced federated learning framework in the value mining layer. This invention, employing the above-mentioned management method for trusted blockchain data, allows the strength of privacy protection to adapt to scenario requirements, significantly improves the identification and response speed of malicious nodes, enhances cross-chain collaboration capabilities, and makes data value mining more accurate.
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