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Location cloaking algorithms based on regional characteristics

机译:基于区域特征的位置覆滤算法

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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:基于位置的服务广泛用于互联网服务。 位置粘附方法用于有效保护用户的位置隐私。 目前的粘附算法没有考虑到区域特征,例如人口密度,人气等级等,基于哪个攻击者通常可以从其铺设区域推断出用户的确切位置。 在本文中,我们根据两种不同的攻击模式设计了基于区域特征的两个粘附算法:最小曝光风险粘附算法和最大熵粘附算法。 仿真结果表明,两个固化算法都可以有效地确保用户的隐私。

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