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Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks

机译:基于多标准的位置隐私保存在车辆临时网络中

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摘要

Vehicular ad hoc networks (VANETs) are the preferable choice for Intelligent Transportation Systems (ITS) because of its prevailing significance in both safety and nonsafety applications. Information dissemination in a multihop fashion along with privacy preservation of source node is a serious but challenging issue. We have used the idea of the phantom node as the next forwarder for data dissemination. The phantom node (vehicle) hides the identity of actual source node thus preserving the location privacy. The selection of the phantom node among the set of alternatives’ candidate vehicles is considered as a multicriteria-based problem. The phantom node selection problem is solved by using an analytical network process (ANP) by considering different traffic scenarios. The selection is based on different parameters which are distance, speed, trust, acceleration, and direction. The best alternative (target phantom vehicle) is selected through an ANP where all the alternatives are ranked from best to worst. The vehicle having maximum weight is considered to be the best choice as a phantom node. In order to check the stability of the alternatives’ ranking, sensitivity analysis is performed by taking into account different traffic scenarios and interest level of candidate vehicles.
机译:车辆临时网络(VANET)是智能交通系统(其)的优选选择,因为它在安全性和非安全应用中的主要意义。信息传播以多跳时的方式以及隐私保存来源节点是一个严重但具有挑战性的问题。我们使用了Phantom节点作为数据传播的下一个转发器的想法。 Phantom节点(车辆)隐藏实际源节点的身份,从而保留位置隐私。在替代方案集中的幻像节点中的选择被认为是基于多标准的问题。通过考虑不同的流量方案,通过使用分析网络进程(ANP)来解决幻像节点选择问题。选择基于不同的参数,该参数是距离,速度,信任,加速度和方向。通过ANP选择最佳替代方案(目标幻像车辆),其中所有替代品排名最佳。具有最大重量的车辆被认为是作为幻象节点的最佳选择。为了检查替代品排名的稳定性,通过考虑不同的交通场景和候选车辆的兴趣水平来执行敏感性分析。

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