Research On Trust Privacy Protection And Storage Query Optimization Based On Blockchai

Blockchain technology has the characteristics of decentralization and immutability,enabling it to play an important role in the field of trust.The consensus algorithm of blockchain addresses the trust establishment issue in the trust industry,making it possible to construct an effective trust system and promote the orderly development of the trust industry.However,blockchain technology itself faces certain challenges.Its transparent nature poses a threat to the security of users’ privacy information since data leakage has become a major issue.Additionally,the scalability limitation of blockchain technology results in significant performance gaps compared to traditional databases,restricting its application in real-world trust business scenarios.To address these problems,this study conducted in-depth research on the application of blockchain technology in the trust industry,focusing on the following aspects:(1)Proposing a blockchain privacy data encryption based on RLWE lattice cryptography.To address the inadequate protection of privacy data in blockchain,this research ensures the security of encrypted data by employing the highly secure lattice cryptography.In addition,by combining a verifiable secret sharing algorithm,the key fragments are distributed across the blockchain network and subjected to secondary encryption,ensuring the security of key fragments and better resistance against collusion attacks.Finally,the proposed scheme is experimentally analyzed and compared with other schemes,demonstrating its advantages in terms of encryption time and key size.(2)Proposing a blockchain data query scheme based on cuckoo filters.To overcome the scalability limitations of blockchain,specifically tailored to the requirements of realworld trust business,this study stores block data in off-chain databases,utilizes an improved cuckoo filter and off-chain Mongo DB database,and incorporates a distributed file storage system,Ceph,to enhance the query performance and data storage efficiency of block data under high traffic conditions.Comparative analysis with other data filtering schemes validates the effectiveness and applicability of this method,particularly in trust business applications.(3)Implementing a prototype system for trust loan business based on blockchain.Through analyzing the requirements of trust loan business and integrating the achievements of the previous two research points,the overall architecture and functionalities of the system are designed,and corresponding smart contracts are created.Finally,the prototype system is implemented using the Hyperledger Fabric blockchain platform,and functional testing is conducted.