同态加密技术在大数据安全中的应用研究  

Research on the application of homomorphic encryption technology in big data security

作　　者：秦宏春 Qin Hongchun(Chinese People’s Liberation Army,Unit 758471,Changsha 410007,China)

机构地区：[1]中国人民解放军758471部队,湖南长沙410007

出　　处：《无线互联科技》2023年第14期97-99,160,共4页Wireless Internet Technology

摘　　要：随着数字技术的飞速发展,人们越来越重视对海量高价值大数据集合的分析与挖掘。为了避免大数据分析过程中产生的隐私泄露等安全问题,相关安全增强措施的引入是十分必要的。而密码学中的同态加密算法尤其适配大数据云存储与异地处理等特点,因而受到了业内广泛关注。文章分析了大数据不同处理阶段的安全需求,针对实际需要分析了多种分支同态加密的计算原理与优缺点,为大数据产业的研究人员在进行开发时提供了安全层面的参考。With the rapid development of digital technology,people are increasingly paying attention to the analysis and mining of massive and high-value big data sets.In order to avoid security issues such as privacy leakage during big data analysis,it is necessary to introduce relevant security enhancement measures.The homomorphic encryption algorithm in cryptography is particularly suitable for big data cloud storage and remote processing,and has received widespread attention in the industry.The article analyzes the security requirements of different stages of big data processing,and analyzes the computational principles,advantages,and disadvantages of multiple branch homomorphic encryption for practical needs.It provides a security reference for researchers in the big data industry when developing.

关 键 词：同态加密 大数据计算 信息安全 

分 类 号：TN918[电子电信—通信与信息系统] TP311[电子电信—信息与通信工程]