Research on Distributed Trusted Data Management and Privacy Protection Technology
Blockchain systems provide better distribution,transparency,and trustworthiness than traditional distributed database systems in terms of bookkeeping methods.To address the trust and privacy leakage problems that exist in traditional centralized data management mechanisms,this study proposes a distributed trusted data management model that supports privacy protection.The model adopts key technologies,such as distributed storage,data privacy protection,access control,and distributed identity,to realize trusted data management and collaborative privacy protection.In terms of data privacy protection,user data privacy is guaranteed based on homomorphic encryption and a zero-knowledge proof algorithm protocol.Data access control is realized by combining an on-chain group isolation mechanism with node storage drop disk encryption technology,returning privacy control to the owner.In terms of user identity privacy protection,distributed identity technology is used to store physical identity and verifiable credentials off-chain to minimize entity information or share it within a controlled range as needed.The system prototype is built and tested for blockchain throughput.The results show that for get requests,Transactions Per Second(TPS)reaches 811.2,and for set requests,TPS reaches 225.5,with an accuracy rate of 100%.The system testing results show that the model's functionality,security,and feasibility meet expectations,with superior performance.
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