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A Security Based Greedy Method (SGMA) for VANETs in City Environment using Score Point Technique

机译:基于得分技术的城市环境中VANET的基于安全的贪婪方法(SGMA)

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摘要

The vehicular Ad-Hoc Networks (VANET) is constrained by high mobility of vehicles and frequent disconnections. The emerging adoption of wireless communications on surface transportation systems has generated extensive interest among researchers over the last several years. This research work deals with the crucial problems associated with routing in both city and urban environment due to false message receive from Vehicles. The main objectives of research, is to avoid the problem of false message attacks in VANET. To address this problem, the authors propose a Security Based Greedy Method (SGMA) specifically for a VANET and evaluate the performance using the NS2 simulator, which is used to add the functionality to validate message of each and every vehicle is secure and reliable. Results show that the proposed scheme will provide the score points of each vehicles, list the fake vehicles id and also SGMA operates properly in terms of packet delivery ratio. With the help of the score point received, the base station should identify the message is fake or not. The score point of vehicles is initialized in the Base station and the score point is stable or decreased depends on the feedback from receiver vehicle. The authors conclude that, the proposed work SGMA to make the network message more securable.
机译:车辆专用网络(VANET)受车辆高移动性和频繁断开连接的限制。在过去的几年中,无线通信在地面运输系统上的新兴采用引起了研究人员的广泛兴趣。这项研究工作解决了由于车辆收到虚假消息而在城市和城市环境中与路线相关的关键问题。研究的主要目的是避免VANET中的虚假消息攻击问题。为了解决这个问题,作者提出了一种专门针对VANET的基于安全的贪婪方法(SGMA),并使用NS2仿真器评估了性能,该仿真器用于添加功能来验证每辆车的消息是否安全可靠。结果表明,所提出的方案将提供每辆车的得分,列出伪造的车辆ID,并且SGMA在数据包传输率方面也能正常运行。借助收到的得分点,基站应确定消息是假的还是假的。车辆的得分点在基站中初始化,并且得分点是稳定的还是降低的取决于接收者车辆的反馈。作者得出的结论是,SGMA提出的工作旨在使网络消息更加安全。

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