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Protecting Location Privacy against Location-Dependent Attacks in Mobile Services

机译:保护位置隐私免受移动服务中与位置有关的攻击

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摘要

Privacy protection has recently received considerable attention in location-based services. A large number of location cloaking algorithms have been proposed for protecting the location privacy of mobile users. In this paper, we consider the scenario where different location-based query requests are continuously issued by mobile users while they are moving. We show that most of the existing k-anonymity location cloaking algorithms are concerned with snapshot user locations only and cannot effectively prevent location-dependent attacks when users' locations are continuously updated. Therefore, adopting both the location k-anonymity and cloaking granularity as privacy metrics, we propose a new incremental clique-based cloaking algorithm, called ICliqueCloak, to defend against location-dependent attacks. The main idea is to incrementally maintain maximal cliques needed for location cloaking in an undirected graph that takes into consideration the effect of continuous location updates. Thus, a qualified clique can be quickly identified and used to generate the cloaked region when a new request arrives. The efficiency and effectiveness of the proposed ICliqueCloak algorithm are validated by a series of carefully designed experiments. The experimental results also show that the price paid for defending against location-dependent attacks is small.
机译:隐私保护最近在基于位置的服务中受到了相当大的关注。为了保护移动用户的位置隐私,已经提出了大量的位置隐藏算法。在本文中,我们考虑了以下情况:移动用户在移动时不断发出不同的基于位置的查询请求。我们表明,大多数现有的k匿名位置隐藏算法仅与快照用户位置有关,并且在用户位置不断更新时不能有效地防止与位置有关的攻击。因此,通过将位置k匿名性和隐身粒度作为隐私度量,我们提出了一种新的基于团块的增量隐身算法,称为ICliqueCloak,以防御依赖于位置的攻击。主要思想是在考虑到连续位置更新的影响的情况下,在无向图中逐步保持位置隐藏所需的最大派系。因此,当新的请求到达时,可以快速识别合格的团体并用于生成隐蔽区域。通过一系列精心设计的实验验证了提出的ICliqueCloak算法的效率和有效性。实验结果还表明,防御位置依赖型攻击的代价很小。

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