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Location cloaking algorithms based on regional characteristics

机译:基于区域特征的位置隐身算法

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Location-based services are widely used in the Internet services. The method of location cloaking is used to effectively protect the user's location privacy. The current cloaking algorithm does not take into account the regional characteristics, such as population density, popularity level and so on, based on which an attacker can often infer user's exact location from their cloaking area. In this paper, we design two cloaking algorithms based on regional characteristics in terms of two different attacking patterns: the Minimum Exposure Risk Cloaking Algorithm and the Maximum Entropy Cloaking Algorithm. Simulation results show that both the two cloaking algorithms can effectively secure the user's privacy.
机译:基于位置的服务在Internet服务中被广泛使用。位置隐藏方法用于有效保护用户的位置隐私。当前的隐蔽算法没有考虑区域特征,例如人口密度,受欢迎程度等,攻击者通常可以根据这些特征从隐蔽区域推断用户的确切位置。本文针对两种不同的攻击方式,基于区域特征设计了两种隐蔽算法:最小暴露风险隐蔽算法和最大熵隐蔽算法。仿真结果表明,两种隐蔽算法都可以有效地保护用户的隐私。

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