A Denial of Service Attack Defense Method for Roadside Units
Huanbin Wang, Gaofeng He, Haiting Zhu, Bingfeng Xu, Lu Zhang, Naixuan Guo · 2024
Roadside Units (RSUs) constitute a vital component of Vehicular Ad Hoc Network (VANET) due to their primary role in gathering vehicle information. However, as indicated in the literature, they are vulnerable to Denial of Service (DoS) attacks. Existing research has proposed several methods for detecting DoS attacks in RSUs, while subsequent steps such as mitigation and elimination remain unexplored. In this work, we propose a novel DoS Attack defense method for roadside units. We employ re-authentication to identify Sybil vehicles and discard the corresponding packets, thereby mitigating the attacks. Subsequently, we calculate the location of the actual malicious vehicle using a triangulation algorithm, in cooperation with traffic cameras and a cloud platform. This allows us to confirm the attacker and eliminate the DoS attacks. Simulation results demonstrate that our proposed method effectively defends against DoS attacks and successfully traces the attackers. Our method is a supplement to existing detection techniques.