An optimal query strategy for protecting location privacy in location-based services
An optimal query strategy for protecting location privacy in location-based services
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DOI：
10.1007/s12083-015-0328-0
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发表时间：
2015-02
影响因子：
4.2
通讯作者：
Weidong Yang;Yunhua He;Limin Sun;Xiang Lu;Xinghua Li
中科院分区：
文献类型：
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作者：
Weidong Yang;Yunhua He;Limin Sun;Xiang Lu;Xinghua Li
从博弈论的角度提出了一种基于位置服务(LBSS)的位置隐私优化查询策略。提出了分布式位置隐私度量，并提出了一种以用户为中心的模型，用户自主决策保护自己的位置隐私。此外，利用贝叶斯博弈的框架，将移动用户之间的合作形式化为查询策略选择优化问题。在分析贝叶斯-纳什均衡的基础上，设计了一种用户查询策略优化算法(UQSOA)，帮助用户获得最优的效用。我们通过仿真评估了该方法的隐私保护效果，并验证了UQSOA算法的理论性质。
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.