VANET黑洞攻击安全算法中QoS的增强

Vibha Oberoi
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引用次数: 1

摘要

VANETs是一种行为高度动态的Ad-Hoc网络,没有任何固定的基础设施。因此,它更容易受到来自网络内部或外部的不安全和漏洞的影响。在智能交通系统(VANETs)中,“路由”在智能交通系统(ITS)的实施中起着重要作用。因此,对响应路由协议即Ad hoc按需距离矢量进行了分析。为了进行网络分析和实时交通的生成,使用了两个模拟器,即网络模拟器-2和城市交通模拟器。分析是在不同数量的车辆(节点)上进行的,即20,50,100,并且还考虑了车辆的速度。为了提高网络的服务质量(QoS)参数,从而提高网络的性能,提出了利用基于标志状态技术(ESVBFST)增强vanet对黑洞攻击的安全性。为了考虑路由协议的性能,即AODV的攻击和使用基于标志状态技术(ESVBFST)增强vanet对黑洞攻击的安全性,考虑了不同的QoS参数,如吞吐量,分组投递率,分组丢包率和延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement of QoS in Security Algorithm for Blackhole Attack in VANET
VANETs is Ad-Hoc network which is highly dynamic in behaviour and do not have any fixed infrastructure. Due to which it is more prone to insecurity and vulnerability which may arise from within or outside the network. In VANETs, “Routing” plays an important role in implementation of Intelligent Transport System(ITS).So, analysis has been conducted on Reactive Routing Protocol i.e. Ad hoc On-Demand Distance Vector. For network analysis and generation of real time traffic two simulators have been used i.e. Network Simulator-2 and Simulation of Urban MObility. The analysis has been conducted on varying number of vehicle (nodes) i.e. 20,50,100 and has also considered the speed of the vehicles. Enhanced Security to VANETs against Blackhole Attack using Flag Status based Technique (ESVBFST) has been proposed in order to enhance the Quality of service (QoS) Parameters thereby improving the performance of the network. In order to consider the performance of Routing Protocol i.e. AODV with attack and Enhanced Security to VANETs against Blackhole Attack using Flag Status based Technique (ESVBFST) scenario different QoS parameter like throughput,Packet Delivery Ratio,Packet Drop Ratio and Delay has been considered.
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