论文标题
安全交通信号灯：基于模型的智能交通控制器的重播攻击检测
Secure Traffic Lights: Replay Attack Detection for Model-based Smart Traffic Controllers
论文作者
论文摘要
快速的城市化要求采用智能交通管理解决方案，这些解决方案结合了传感器，分布式交通管制员和V2X通信技术，以提供精细的交通控制以减轻拥塞。与许多其他网络物理系统一样，智能交通管理系统通常缺乏安全措施。这为对抗实体提供了许多机会，可以对传感器网络，无线数据共享和/或分布式流量控制器进行攻击。我们表明，可以利用这种脆弱性来破坏大型城市地区的流动性，并为驾驶员和道路上的行人造成不安全的条件。具体而言，在本文中，我们研究了基于模型的流量控制器中的漏洞，并表明，即使有最新的攻击探测器，False-DATA注入也可以用于妨碍移动性。我们通过对流行的流量模拟器维西姆（Vissim）建模孤立的交叉路口来展示重播攻击，并讨论阻止这种攻击的对策。
Rapid urbanization calls for smart traffic management solutions that incorporate sensors, distributed traffic controllers and V2X communication technologies to provide fine-grained traffic control to mitigate congestion. As in many other cyber-physical systems, smart traffic management systems typically lack security measures. This allows numerous opportunities for adversarial entities to craft attacks on the sensor networks, wireless data sharing and/or the distributed traffic controllers. We show that such vulnerabilities can be exploited to disrupt mobility in a large urban area and cause unsafe conditions for drivers and the pedestrians on the roads. Specifically, in this paper, we look into vulnerabilities in model-based traffic controllers and show that, even with state-of-the-art attack detectors in place, false-data injection can be used to hamper mobility. We demonstrate a replay attack by modeling an isolated intersection in VISSIM, a popular traffic simulator and also discuss countermeasures to thwart such attacks.
