网络数据隐私中同态加密应用困境与优化研究
Application dilemma and optimization of homomorphic encryption in network data privacy security
任云豪1
作者信息
摘要
[目的/意义]在数字经济时代,网络数据规模的不断跃升,加之新兴技术如人工智能等的应用,对数据隐私带来了新的挑战.而同态加密技术可以实现数据加密状态下的分析处理,对数据隐私保护具有重要意义.[方法/过程]分析目前网络数据隐私安全保护的现状,以及同态加密技术应用的困境,总结并探索出同态加密技术应用的优化对策.[结果/结论]针对同态加密技术应用存在的难题,提出算法优化和硬件加速、数据分块、分层加密等优化对策.
Abstract
[Purpose/Significance]In the digital economy era,with the continuous surge in the scale of network data and the application of emerging technologies such as artificial intelligence,new challenges to data privacy have emerged.Homomorphic encryption technology enables analysis and processing of encrypted data,holding significant significance for data privacy protection.[Method/Process]Analyzing the current status of network data privacy security and the challenges facing the application of homomorphic encryption technology in this field,summarizing experiences,and exploring optimization strategies for the application of homomorphic encryption technology.[Results/Conclusion]Addressing the challenges in the application of homomorphic encryption technology by proposing optimization strategies such as algorithm optimization,hardware acceleration,data fragmentation,and hierarchical encryption.
关键词
同态加密技术/数据隐私保护/云计算/数据安全治理/数据合规Key words
homomorphic encryption technology/data privacy protection/cloud computingdata security governancedata compliance引用本文复制引用
基金项目
中央高校基本科研业务费专项资金资助项目(2022SJKJS04)
出版年
2024
NETL
NSTL
万方数据