Blockchain Security Management Method Integrating Support Vector Inner Product and Fuzzy Search Algorithm
To support a more flexible and efficient ciphertext search function in blockchain,a search scheme based on support vector inner product and fuzzy search algorithm is proposed.Symmetric encryption algorithm and inverted index technology are used to ensure the security and integrity of data.Analysis of data shows that compared to the decentralized joint keyword search scheme and the encrypted keyword search scheme with multiple permission attributes,this method reduces the generation time of ci-phertext by 95%and 73%,and the query time by 0.05ms and 0.06ms,respectively.The results show that the blockchain security management method that integrates support vector inner product and fuzzy search algorithm shows significant advantages in terms of time consumption,and can provide more accurate and comprehensive search results,which is of great significance for improving search efficiency and user experience.
support vector inner productfuzzy searchblockchainsafety managementsymmetric encryption
万方数据
维普
