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Privacy-by-Decoy: Protecting location privacy against collusion and deanonymization in vehicular location based services

机译:诱饵式隐私:在基于位置服务的车辆服务中保护位置隐私免遭串通和匿名处理

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Wireless networks which would connect vehicles via the Internet to a location based service, LBS, also would expose vehicles to online surveillance. In circumstances when spatial cloaking is not effective, such as when continuous precise location is required, LBSs may be designed so that users relay dummy queries through other vehicles to camouflage true locations. This paper introduces PARROTS, Position Altered Requests Relayed Over Time and Space, a privacy protocol which protects LBS users' location information from LBS administrators even (1) when the LBS requires continuous precise location data in a vehicular ad hoc network, (2) when LBS administrators collude with administrators of vehicular wireless access points (a.k.a. roadside units, or RSUs), and (3) when precise location data might be deanonymized using map databases linking vehicle positions with vehicle owners' home/work addresses and geographic coordinates. Defense against deanonymization requires concealment of endpoints, the effectiveness of which depends on the density of LBS users and the endpoint protection zone size. Simulations using realistic vehicle traffic mobility models varying endpoint protection zone sizes measure improvements in privacy protection.
机译:将通过互联网将车辆连接到基于位置的服务LBS的无线网络也将使车辆受到在线监视。在空间隐蔽无效的情况下(例如,需要连续的精确位置时),可以设计LBS,以便用户通过其他车辆中继伪查询以伪装真实位置。本文介绍了PARROTS(随时间和空间中继的位置变更请求)这一隐私协议,该协议可保护LBS用户的位置信息免受LBS管理员的侵害,即使(1)当LBS在车载自组织网络中需要连续的精确位置数据时,(2) LBS管理员与车载无线访问点(又名路边单元或RSU)的管理员合谋,以及(3)当使用将车辆位置与车主的住所/工作地址和地理坐标相关联的地图数据库来对精确的位置数据进行匿名处理时。防御非匿名化需要隐藏端点,其有效性取决于LBS用户的密度和端点保护区的大小。使用逼真的车辆交通移动性模型进行仿真,可以改变端点保护区域的大小,从而可以改善隐私保护。

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