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Detection of Denial of Service (DoS) Attack in Vehicular Ad Hoc Networks: A Systematic Literature Review

机译：车载Ad Hoc网络中拒绝服务（DoS）攻击的检测：系统文献综述

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Smart technologies have seeped into every aspect of human communication. The increase in population has escalated the number of vehicles on road as well as probability of collisions. Development of intelligent vehicles for improving driver experience have introduced the Mobile Ad hoc Technologies into transport systems in the form of Vehicular Ad hoc Networks (VANETs), also known as the Inter Vehicular Communication Network. This is an intrinsically wireless system with a set of security challenges that are inherently dependent on its lack of infrastructure, short connection times and high mobility. VANETs aim to provide users with optimum driving experience as well as safety on road. The most significant service for the vehicular networks is the availability of ubiquitous information to the legitimate users because a delay in this life-critical and time-sensitive network can be fatal in some scenarios. Hence, Denial of Service (DoS) is one of the most imminent security threat for this system. Although, some research has been done for the mitigation of this issue, data mining has not been optimally applied to solve it. Moreover, the available schemes are deficient in one aspect or the other in order to provide impeccable detection. The capability of decision tree classification to timely identify behavioral changes in traffic with low error rate makes it a powerful detection scheme. This paper describes the characteristics of VANETs and aims to identify the most critical types of DoS attacks on vehicular networks. Furthermore, it comprehensively reviews available solutions in current literature for mitigating this attack on Inter Vehicular Communications. The paper also discusses some of the future challenges for security in VANETs.
机译：智能技术已经渗透到人类交流的各个方面。人口的增加增加了道路上车辆的数量以及发生碰撞的可能性。用于改善驾驶员体验的智能车辆的开发已经将移动自组织技术以车辆自组织网络（VANET）的形式引入了运输系统，VANET也被称为车辆间通信网络。这是一个固有的无线系统，具有一系列安全挑战，这些挑战固有地取决于其缺乏基础结构，连接时间短和移动性高的问题。 VANET旨在为用户提供最佳的驾驶体验以及道路安全。车载网络最重要的服务是为合法用户提供无处不在的信息，因为在某些情况下，对生命至关重要且对时间敏感的网络的延迟可能是致命的。因此，拒绝服务（DoS）是此系统最迫在眉睫的安全威胁之一。尽管已经进行了一些研究来缓解此问题，但尚未很好地应用数据挖掘来解决此问题。而且，可用方案在一个方面或另一方面是不足的，以提供无可挑剔的检测。决策树分类功能能够以低错误率及时识别流量中的行为变化，从而使其成为功能强大的检测方案。本文介绍了VANET的特征，旨在识别车载网络上最关键的DoS攻击类型。此外，它全面审查了当前文献中可用于缓解车载通信之间的攻击的可用解决方案。本文还讨论了VANET安全性的未来挑战。

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