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Protecting location privacy with k-confusing paths based on dynamic pseudonyms

机译:基于动态假名的k混淆路径保护位置隐私

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摘要

As smart phones with a GPS receiver have been becoming popular recently, many people have realized the issue of protecting their location privacy. Previous research on location privacy mainly focuses on anonymization techniques for removing identifiable information from users' location traces. Although anonymized location data is useful to many applications, such as traffic monitoring, we can provide a new class of location-based services by utilizing path information of mobile users. In this paper, we present a dynamic pseudonym scheme for constructing alternate possible paths of mobile users to protect their location privacy. We introduce a formal definition of location privacy for pseudonym-based location data sets and show an efficient verification algorithm for determining whether each user in a given location data set has sufficient number of possible paths to disguise the user's true movements.
机译:随着具有GPS接收器的智能电话近来变得越来越流行,许多人已经意识到保护其位置隐私的问题。以前有关位置隐私的研究主要集中在匿名化技术上,该技术用于从用户的位置跟踪中删除可识别的信息。尽管匿名的位置数据对于许多应用程序(例如交通监控)很有用,但是我们可以通过利用移动用户的路径信息来提供一类新的基于位置的服务。在本文中,我们提出了一种动态假名方案,用于构造移动用户的备用可能路径,以保护他们的位置隐私。我们为基于假名的位置数据集引入了位置隐私的正式定义,并展示了一种有效的验证算法,用于确定给定位置数据集中的每个用户是否具有足够数量的可能路径来掩盖用户的真实运动。

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