An optimal query strategy for protecting location privacy in location-based services

被引：0
|
作者：
Wei-dong Yang
Yun-hua He
Li-min Sun
Xiang Lu
Xinghua Li
机构：
[1] Henan University of Technology,College of Information Science and Engineering
[2] Henan University of Technology,The grain of information processing and Control Key Laboratory of Ministry of Education
[3] Chinese Academy of Sciences,Institute of Information Engineering
[4] Xidian University,College of Computer Science
来源：
Peer-to-Peer Networking and Applications | 2016年 / 9卷
关键词：
Location-based services; Location privacy; Game-theory;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, an optimal query strategy is proposed for location privacy in location-based services (LBSs) from a game-theoretic perspective. Distributed location privacy metrics are proposed, and a user-centric model is proposed, in which users make their own decisions to protect their location privacy. In addition, the mobile users’ cooperation is formalized as a query strategy selection optimizing problem by using the framework of Bayesian games. Based on the analysis of Bayesian Nash Equilibria, a User Query Strategy Optimization Algorithm (UQSOA) is designed to help users achieve optimized utilities. We perform simulations to assess the privacy protection effectiveness of our approach and validate the theoretical properties of the UQSOA algorithm.
引用
收藏
页码：752 / 761
页数：9
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