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Activity tracking: A new attack on location privacy

机译:活动跟踪:对位置隐私的新攻击

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The exposure of location information in location-based services (LBS) raises users' privacy concerns. Recent research reveals that in LBSs users concern more about the activities that they have performed than the places that they have visited. In this paper, we propose a new attack with which the adversary can accurately infer users' activities. Compared to existing attacks, our attack provides the adversary not only with the places where users perform activities but also with the information when they stay at each of these places. To achieve this objective, we propose a new model to capture users' mobility and their LBS requests in continuous time, which naturally expresses users' behaviour in LBSs.We then formally implement our attack by extending an existing framework for quantifying location privacy. Through experiments on a real-life dataset, we show the effectiveness of our new tracking attack.
机译:基于位置的服务(LBS)中位置信息的公开引起了用户的隐私问题。最近的研究表明,在LBS中,用户所关注的是他们所执行的活动,而不是所访问的地方。在本文中,我们提出了一种新的攻击方式,攻击者可以利用该攻击方式准确推断用户的活动。与现有攻击相比,我们的攻击不仅向用户提供用户进行活动的位置,而且还为他们提供在每个位置的信息。为了实现这一目标,我们提出了一种新的模型来连续捕获用户的移动性及其LBS请求,以自然地表达用户在LBS中的行为,然后通过扩展现有的量化位置隐私的框架来正式实施攻击。通过对真实数据集的实验,我们证明了新的跟踪攻击的有效性。

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