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Privacy-Preserving Traffic Monitoring in Vehicular Ad Hoc Networks

机译:车载Ad Hoc网络中的隐私保护流量监控

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Most modern metropolitan cities have suffered from increasing traffic accidents and jams. Vehicular ad hoc network (VANET), consisting of information collecting, processing and transmitting units embedded in vehicles assisted by roadside infrastructures, has been proposed as one the most promising solution to problems introduced by the increasing number of vehicles in modern cities. To achieve the goal, it is crucial to allow the transportation administration center to collect information about the traffic and road status through VANET. A major obstacle in this scenario is the privacy concern on the vehicles. To address this issue, this paper proposes a generic privacy-preserving traffic monitoring framework which allows individual vehicle driving status and the road usage information are collected while the privacy of the vehicles is well preserved. This goal is achieved by the novel technology of distinguishing individual vehicles with their spatio-temporal occupations. The continual change of spatio-temporal identities provides privacy for vehicles in a natural way, which remains nonetheless traceable by a trusted authority to prevent misbehaving vehicles from abuse the privacy-preserving mechanism provided by the system.
机译:大多数现代大都市的交通事故和交通拥堵不断增加。车载自组织网络(VANET)由嵌入在路边基础设施辅助下的车辆中的信息收集,处理和传输单元组成,已被提议作为解决现代城市中越来越多的车辆所引入的问题的最有希望的解决方案之一。为了实现该目标,至关重要的是让运输管理中心通过VANET收集有关交通和道路状况的信息。在这种情况下的主要障碍是车辆的隐私问题。为了解决这个问题,本文提出了一种通用的隐私保护交通监控框架,该框架允许在保护好车辆隐私的同时收集各个车辆的行驶状态和道路使用信息。这个目标是通过区分各个车辆及其时空职业的新技术来实现的。时空身份的不断变化以自然的方式为车辆提供了私密性,但是仍然可以由受信任的权威机构跟踪,以防止行为不端的车辆滥用系统提供的私密性保护机制。

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