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Towards secure and privacy preserving collision avoidance system in 5G fog based Internet of Vehicles

机译:基于5G Fog基于车辆的安全和隐私保护避难系统

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Current avoidance systems mainly focus on the safety of the car occupants. The surrounding entities including the pedestrians, the cyclists are assumed to use a different avoidance system for their safety. Vehicle speed is reported as one of the major factors that causes such severe road accidents that affect other entities on the road. In response, several solutions have been implemented to control the causalities of over speeding ranging from speed camera, speed detectors to car avoidance systems. However, those solutions have not significantly improved the rate of traffic accidents and their impact. Additionally, the current solutions do not ensure timely notification of all the road users (surrounding vehicle drivers, pedestrians or others) that can alleviate crash causalities in case of fatal traffic accidents. The fifth generation (5G) cellular network is predicted to overcome the current limitations of Internet of-Vehicles (boy) by offering fast, low latency and reliable connections to enable boy based applications. Fog computing has also been proposed to complement IoV by bringing computational entities in nearby proximity of the vehicles. 5G based fog vehicular networks is a new paradigm that empower real-time and low latency services for Intelligent Transportation System (ITS). In this paper we proposed a secure and privacy-preserving collision avoidance system in 5G fog based boy. The fog devices are used to collect speed violation report (TVR) sent by the vehicles' speed sensors. The fog nodes aggregate multiple TVRs, verify the signatures on the TVRs and broadcast anonymous notifications to other entities in the vicinity. The protocol makes use of certificateless aggregate signcryption coupled with pseudonymous technique as the building blocks to ensure authentication, integrity, confidentiality and privacy preservation respectively. The batch verification technique is used by the fog devices to allow simultaneous TVRs signature verification for a timely response. The authorization of reporting speed sensors is both guaranteed by the location-based information along with the digital signature to discard all the bogus TVRs. The analysis of the protocol confirms its lightweightness and efficiency. (C) 2019 Elsevier B.V. All rights reserved.
机译:电流避免系统主要关注汽车占用者的安全性。假设包括行人的周围实体,骑自行车的人使用不同的避免系统的安全性。车辆速度被报告为导致这种严重的道路意外影响道路上的其他实体的主要因素之一。作为响应,已经实施了几种解决方案以控制从速度相机,速度探测器到汽车避免系统的超速范围的因果。然而,这些解决方案没有显着提高交通事故的速度及其影响。此外,目前的解决方案不确保及时通知所有道路使用者(周围的车辆司机,行人或其他人),在致命的交通事故情况下可以减轻碰撞因果。预测第五代(5G)蜂窝网络通过提供快速,低延迟和可靠的连接来克服车辆互联网(BOY)的当前限制,以使基于男孩的应用程序能够实现。还提出了通过在附近的车辆附近提供计算实体来补充IOV的雾计算。基于5G的雾车辆网络是一种新的范式,可以为智能交通系统(其)赋予实时和低延迟服务。在本文中,我们提出了在基于5G FOG的男孩中进行了安全和隐私的碰撞避免系统。 FOG设备用于收集车辆速度传感器发送的速度违规报告(TVR)。 FOG节点聚合多个TVR,验证TVR上的签名,并将匿名通知广播到附近的其他实体。该协议利用与伪技术耦合的无证书聚合签名作为构建块,以确保认证,完整性,机密性和隐私保存。雾设备使用批处理验证技术,以便及时响应同时验证TVRS签名验证。报告速度传感器的授权由基于位置的信息以及数字签名保证,以丢弃所有虚假TVRS。协议的分析证实了其轻量级和效率。 (c)2019 Elsevier B.v.保留所有权利。

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