融合支持向量内积与模糊搜索算法的区块链安全管理方法研究  

Blockchain Security Management Method Integrating Support Vector Inner Product and Fuzzy Search Algorithm

作　　者：杨光 Yang Guang(School of Information Engineering,Lanzhou Technology and Business College,Lanzhou,Gansu 730101,China)

机构地区：[1]兰州工商学院信息工程学院,甘肃兰州730101

出　　处：《伊犁师范大学学报（自然科学版）》2024年第3期65-70,共6页Journal of Yili Normal University（Natural Science Edition）

基　　金：甘肃省教育厅2022年甘肃省高等学校创新基金项目“基于区块链技术的高校教育资源共享框架构建研究”(2022B-394)。

摘　　要：为支持区块链更加灵活和高效的密文搜索功能,提出一种基于支持向量内积与模糊搜索算法的搜索方案,并通过对称加密算法和倒排索引技术,确保数据的安全性和完整性.分析数据显示,该方法相比于去中心化联合关键字搜索方案和多权限属性的加密关键词搜索方案,密文生成时间分别减少了95%和73%,查询时间分别减少了0.05 ms和0.06 ms.结果表明,融合支持向量内积与模糊搜索算法的区块链安全管理方法在时间消耗方面表现出了显著的优势,并且能够提供更准确和全面的搜索结果,对于提高搜索效率和用户体验具有重要的意义.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.

关 键 词：支持向量内积 模糊搜索 区块链 安全管理 对称加密 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]