Cyber-Physical-Social Aware Privacy Preserving in Location-Based Service
Cyber-Physical-Social Aware Privacy Preserving in Location-Based Service
复制标题
基于位置的服务中的网络物理社会意识隐私保护
DOI：
10.1109/access.2018.2871158
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发表时间：
2018
期刊：
影响因子：
3.9
通讯作者：
Oki Eiji
中科院分区：
文献类型：
--
作者：
Zhu Konglin;Yan Wenke;Zhao Wenqi;Chen Liyang;Zhang Lin;Oki Eiji
基于位置服务（LBS）的隐私泄露已经成为一个严重的问题。为了保护用户的隐私，许多研究已经调查，以防止用户隐私窃取LBS服务器。然而，他们只考虑是否是无辜的或恶意的对等点，而忽略了对等点之间的关系，而这样的关系，每对用户之间的隐私泄漏的影响巨大。例如，与陌生人相比，用户更少担心来自社交朋友的隐私泄露。本文研究了网络物理社会（CPS）感知方法，以解决LBS服务器和网络中其他参与者都有可能被恶意攻击的情况下的隐私保护问题。此外，通过探索用户之间的物理耦合和社会关系，我们构建了CPS感知的隐私效用最大化（CPUM）的游戏。然后，我们研究了该博弈的潜在纳什均衡，并证明了CPUM博弈的纳什均衡的存在性。最后，我们设计了一个CPS感知的算法来寻找隐私效用最大化的纳什均衡。广泛的评估结果表明，所提出的方法减少了50%的情况下，恶意服务器和用户在网络中存在的隐私泄漏。
The privacy leakage resulting from location-based service (LBS) has become a critical issue. To preserve user privacy, many previous studies have investigated to prevent LBS servers from user privacy theft. However, they only consider whether the peers are innocent or malicious but ignore the relationship between the peers, whereas such a relationship between each pairwise of users affects the privacy leakage tremendously. For instance, a user has less concern of privacy leakage from a social friend than a stranger. In this paper, we study cyber-physical-social (CPS) aware method to address the privacy preserving in the case that not only LBS servers but also every other participant in the network has the probability to be malicious. Furthermore, by exploring the physical coupling and social ties among users, we construct CPS-aware privacy utility maximization (CPUM) game. We then study the potential Nash equilibrium of the game and show the existence of Nash equilibrium of CPUM game. Finally, we design a CPS-aware algorithm to find the Nash equilibrium for the maximization of privacy utility. Extensive evaluation results show that the proposed approach reduces privacy leakage by 50% in the case that malicious servers and users exist in the network.
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