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首页> 外文期刊>Intelligent Transport Systems, IET >Location information verification using transferable belief model for geographic routing in vehicular ad hoc networks
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Location information verification using transferable belief model for geographic routing in vehicular ad hoc networks

机译:在车辆自组织网络中使用可转移信念模型进行地理路由的位置信息验证

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摘要

Location verification has witnessed significant attention in vehicular communication due to the growth in number of location based intelligent transport system (ITS) applications. The traditional cryptography based techniques have been suggested to secure and verify location of vehicles. The traditional techniques increase protocol complexity and computational overhead due to the ad hoc nature of vehicular network environments. In this context, this study proposes two layered location information verification cum security (LIVES) technique based on transferable belief model (TBM). In layer 1, tiles based verification is performed using the concepts of virtual tiles on roads and received signal strength. In layer 2, TBM based verification is performed. Specifically, the belief of the presence of a vehicle on each tiles, and the belief of the presence of a vehicle as neighbour of other neighbouring vehicles are combined as collective belief to attest the location claim of a neighbour vehicle. The performance of LIVES is evaluated with road-based and map-based network environments. The single, mixed and multiple adversary vehicles are considered in both the network environments. The comparative performance evaluations attest the benefits of LIVES as compared with the verification and inference of position using anonymous beaconing and without using LIVES.
机译:由于基于位置的智能运输系统(ITS)应用程序数量的增加,位置验证在车辆通信中受到了极大的关注。已经提出了基于传统密码术的技术来保护和验证车辆的位置。由于车辆网络环境的特殊性质,传统技术增加了协议复杂性和计算开销。在此背景下,本研究提出了基于可转移信念模型(TBM)的两层位置信息验证暨安全(LIVES)技术。在第1层中,使用道路上虚拟图块和接收信号强度的概念执行基于图块的验证。在第2层中,执行基于TBM的验证。具体地,将在每个瓦片上的车辆的存在的信念和作为其他相邻车辆的邻居的车辆的存在的信念组合为集体信念,以证明相邻车辆的位置要求。使用基于道路和基于地图的网络环境评估LIVES的性能。在两种网络环境中均考虑了单个,混合和多个敌方车辆。与使用匿名信标和不使用LIVES进行验证和推断位置相比,比较绩效评估证明了LIVES的好处。

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