文章基本信息

标题：Protecting User Preference in Ranked Queries
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作者：Rong Tang ; Xinyu Yu
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2022
卷号：13
期号：4
DOI：10.14569/IJACSA.2022.0130492
语种：English
出版社：Science and Information Society (SAI)
摘要：Protecting data privacy is of extremely importance for users who outsource their data to a third-party in cloud computing. Although there exist plenty of research work on data privacy protection, the problem of protecting user’s preference information has received less attention. In this paper, we consider the problem of how to prevent user preference information leakage from the third-party when processing ranked queries. We propose two algorithms to solve the problem, where the first one is based on distortion of preference vector and the second one is based on homomorphic encryption. We conduct extensive experiments to verify effectiveness of our approaches.
关键词：Preference privacy; distortion; homomorphic encryption