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A Method for the Trajectory Privacy Protection Based on the Segmented Fake Trajectory under Road Networks

机译:基于道路网络下分段假轨迹的轨迹隐私保护的方法

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In recent years, LBS (Location-Based Service)have been widely used. According tithe historical location of user, location service providers may analyze the user's interests, health and other personal privacy. The traditional k-anonymous protection method for trajectory mainly depends on the European space but not consider the road networks. In this paper, we proposed a method for trajectory privacy protection based on the segmented fake trajectory under road network. This method generated the fake position for the sampling location of real trajectory in different time, and generated the segmented fake trajectory in different time intervals. For the segmented fake trajectory which satisfied in the demand of privacy, according to the order of time, we connected them to generate the integrated fake trajectory. This method can both ensure the road network L-diversity and trajectory L-diversity. Through the experiment results, we proved that this method have a better effect for the user's real trajectory protection.
机译:近年来,LBS(基于位置的服务)已被广泛使用。根据用户的历史位置,位置服务提供商可以分析用户的兴趣,健康和其他个人隐私。传统的轨道轨迹保护方法主要取决于欧洲空间,但不考虑道路网络。在本文中,我们提出了一种基于道路网络下分段假轨迹的轨迹隐私保护方法。该方法在不同时间生成了实际轨迹的采样位置的假位置,并以不同的时间间隔生成分段的假轨迹。对于细分的虚假轨迹,满足隐私需求的,根据时间的顺序,我们连接了它们以产生综合的假轨迹。该方法可以确保道路网络L-多样性和轨迹L-多样性。通过实验结果,我们证明这种方法对用户的真实轨迹保护具有更好的效果。

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