Fuzzy Encryption Search Scheme and Data Verification Mechanism Based on Blockchain

Abstract

With the development of blockchain technology, the security of blockchain data verification has received increasing attention. A fuzzy encryption search scheme and data verification mechanism are proposed in the study. First, privacy protection of the raw data is achieved through a hierarchical Mini Batch K-Means clustering algorithm and locally sensitive hash functions. Second, the study proposes a blockchain data verification mechanism that employs a fuzzy encryption search scheme, in conjunction with cloud storage and a fuzzy encryption algorithm. This mechanism is designed to ensure data integrity and confidentiality. When the number of attributes was 30, the initialization time cost of the proposed fuzzy encryption search scheme was 98 ms, which was reduced by about 51.6% compared to the blockchain-assisted sorting method. The encryption time cost of the proposed search method was 61 ms, which was reduced by about 35.6% compared to the multi-permission data access method. When the number of parallel transactions reached 1000, the transaction duration for smart contract Upload was 23.68 s, while the transaction duration for Search was 24.36 s. The proposed fuzzy encryption search scheme and data verification mechanism not only protect data privacy and ensure data integrity and confidentiality, but also have high search efficiency and low time overhead, providing better security for blockchain data.