隐私数据库多关键词秘密同态检索方法研究  

Research on the Secret Homomorphism Retrieval Method of Multiple Keywords in Privacy Database

作　　者：姜姗[1] 曹莉[1] JIANG Shan;CAO Li(School of Information Technology,Henan University of Chinese Medicine,Zhengzhou Henan 450046,China)

机构地区：[1]河南中医药大学信息技术学院,河南郑州450046

出　　处：《计算机仿真》2022年第4期408-412,共5页Computer Simulation

摘　　要：为避免在隐私数据库检索过程中因服务器端返回的文件相关度低而增加检索耗时,在秘密同态技术的基础上,设计了隐私数据库多关键词检索方法。在模拟隐私数据系统模型的基础上,并利用秘密同态技术分析隐私数据库检索的过程,根据加密解密算法获取该技术的运算定理。在保证数据检索安全性的同时将数据关键词检索分为五个模块,使用相关性分数计算基本原则,通过相关性分数以及向量空间模型构建相关性索引,最后依据秘密同态加密解密算法从根本上实现多关键词分级检索。实验结果表明:上述方法检索结果的输出状态较为平稳,且时效性和稳定性较高。During the retrieval of the private database,the low correlation of the returned files on the server results in the increase of retrieval time.Therefore,based on the secret homomorphism technology,this paper designs a multi-keyword retrieval method for the private database.The simulation of the privacy data system model combined with the analysis of the secret homomorphism technology,and the operation theorem of the technology was obtained according to the encryption and decryption algorithm.On the premise of ensuring the security of data retrieval,data keyword retrieval was divided into five modules.Using the basic principle of correlation score calculation,a correlation index was constructed by correlation score and vector space model,and multi-keyword hierarchical retrieval was achieved based on secret homomorphic encryption and decryption algorithm.The results show that the retrieval results have high timeliness and stability with a stable output state.

关 键 词：隐私数据库 秘密同态技术 多关键词检索 加密 解密 

分 类 号：TM391.1[电气工程—电机]