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arXiv · 2003.04244

Secure Traffic Lights: Replay Attack Detection for Model-based Smart Traffic Controllers

Pratham Oza·Mahsa Foruhandeh·Ryan Gerdes·Thidapat Chantem
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Abstract

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.

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Pratham Oza, Mahsa Foruhandeh, Ryan Gerdes, Thidapat Chantem. 2020-03-09. Secure Traffic Lights: Replay Attack Detection for Model-based Smart Traffic Controllers. https://arxiv.org/abs/2003.04244

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