论文标题
基于RSU的在线入侵检测和减轻VANET
RSU-Based Online Intrusion Detection and Mitigation for VANET
论文作者
论文摘要
安全车辆通信是安全交通管理的关键因素。智能运输系统（ITS）的有效安全性需要有效，及时的入侵检测系统（IDS）。在本文中，我们考虑了错误的数据注入攻击和分布式拒绝服务（DDOS）攻击，尤其是隐形的DDOS攻击，分别针对车辆临时网络（VANET）的完整性和可用性。提出了基于路边单元（RSU）的集中式通信的新型统计入侵检测和缓解技术，以进行考虑的攻击。使用流量模拟器和真实的流量数据集评估所建议方法的性能。与最先进的解决方案的比较清楚地证明了所提出的方法在快速，准确的检测和网络攻击的定位方面具有出色的性能。
Secure vehicular communication is a critical factor for secure traffic management. Effective security in intelligent transportation systems (ITS) requires effective and timely intrusion detection systems (IDS). In this paper, we consider false data injection attacks and distributed denial-of-service (DDoS) attacks, especially the stealthy DDoS attacks, targeting the integrity and availability, respectively, in vehicular ad-hoc networks (VANET). Novel statistical intrusion detection and mitigation techniques based on centralized communications through roadside units (RSU) are proposed for the considered attacks. The performance of the proposed methods are evaluated using a traffic simulator and a real traffic dataset. Comparisons with the state-of-the-art solutions clearly demonstrate the superior performance of the proposed methods in terms of quick and accurate detection and localization of cyberattacks.
