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Enhancing Security and Privacy in Traffic-Monitoring Systems

机译:增强流量监控系统的安全性和隐私性

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Intelligent transportation systems increasingly depend on probe vehicles to monitor traffic: they can automatically report position, travel time, traffic incidents, and road surface problems to a telematics service provider. This kind of traffic-monitoring system could provide good coverage and timely information on many more roadways than is possible with a fixed infrastructure such as cameras and loop detectors. This approach also promises significant reductions in infrastructure cost because the system can exploit the sensing, computing, and communications devices already installed in many modern vehicles. This architecture separates data from identities by splitting communication from data analysis. Data suppression techniques can help prevent data mining algorithms from reconstructing private information from anonymous database samples
机译:智能交通系统越来越依赖探测车辆来监视交通:它们可以自动向电信服务提供商报告位置,行驶时间,交通事故和路面问题。与固定基础设施(例如摄像机和环路探测器)相比,这种交通监控系统可以在更多的道路上提供良好的覆盖范围和及时的信息。这种方法还有望大大降低基础设施成本,因为该系统可以利用许多现代车辆中已经安装的传感,计算和通信设备。通过将通信与数据分析分开,该体系结构将数据与身份分离。数据抑制技术可以帮助防止数据挖掘算法从匿名数据库样本中重建私人信息

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