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Preserving location privacy without exact locations in mobile services

机译:在移动服务中没有确切位置的情况下保持位置隐私

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摘要

Privacy preservation has recently received considerable attention in location-based services (LBSs). A large number of location cloaking algorithms have been proposed for protecting the location privacy of mobile users. However, most existing cloaking approaches assume that mobile users are trusted. And exact locations are required to protect location privacy, which is exactly the information mobile users want to hide. In this paper, we propose a p-anti-conspiration privacy model to anonymize over semi-honest users. Furthermore, two κ~*NNG-based cloaking algorithms, vκ~*NNCA and eκ~*NNCA, are proposed to protect location privacy without exact locations. The efficiency and effectiveness of the proposed algorithms are validated by a series of carefully designed experiments. The experimental results show that the price paid for location privacy protection without exact locations is small.
机译:隐私保护最近在基于位置的服务(LBS)中受到了广泛的关注。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。但是,大多数现有的伪装方法都假定移动用户是受信任的。并且需要精确的位置来保护位置的隐私,这正是移动用户想要隐藏的信息。在本文中,我们提出了一个p-反共谋隐私模型来对半诚实的用户进行匿名处理。此外,提出了两种基于κ〜* NNG的隐匿算法,即vκ〜* NNCA和eκ〜* NNCA,以保护没有确切位置的位置隐私。通过一系列精心设计的实验验证了所提出算法的效率和有效性。实验结果表明,没有确切位置的位置隐私保护所付出的代价很小。

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