Preferred search over encrypted data
Preferred search over encrypted data作者机构:Department of Computer Science and Technology Tsinghua University Beijing 100084 China
出 版 物:《Frontiers of Computer Science》 (中国计算机科学前沿(英文版))
年 卷 期:2018年第12卷第3期
页 面:593-607页
核心收录:
学科分类:12[管理学] 083002[工学-环境工程] 0830[工学-环境科学与工程(可授工学、理学、农学学位)] 081802[工学-地球探测与信息技术] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0818[工学-地质资源与地质工程] 081602[工学-摄影测量与遥感] 0816[工学-测绘科学与技术] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported by the National Key R&D Program 国家自然科学基金 the Beijing Municipal Science and Technology Commission of China
主 题:preferred search encrypted data secure innerproduct calculation
摘 要:Cloud computing provides elastic data storage and processing services. Although existing research has proposed preferred search on the plaintext files and encrypted search, no method has been proposed that integrates the two techniques to efficiently conduct preferred and privacypreserving search over large datasets in the cloud. In this paper, we propose a scheme for preferred search over encrypted data (PSED) that can take users' search preferences into the search over encrypted data. In the search process, we ensure the confidentiality of not only keywords but also quantified preferences associated with them. PSED constructs its encrypted search index using Lagrange coefficients and employs secure inner-product calculation for both search and relevance measurement. The dynamic and scalable property of cloud computing is also considered in PSED. A series of experiments have been conducted to demonstrate the efficiency of the proposed scheme when deploying it in realworld scenarios.