Securing Vehicular Platooning against Vehicle Platooning Disruption (VPD) Attacks

Abstract

The traffic problems related to bottlenecks, accidents and delays on the road intersections create a significant need for the application of platoon mechanism. In this context, we consider a scenario when a platoon of negotiating vehicles approaches the intersection. The platoon leader should negotiate the passage of its following vehicles from the traffic light to enable them to reach their destinations as soon as possible. However, some platooned member vehicles try to destroy platoon stability. In this paper, we considered the VPD (Vehicle platooning disruption) attacks, where an attacker seeks to destabilize or take control of a platoon through false data injection (FDI) and replay of control messages. To conceive a countermeasure to this attack, first, we propose a VPD Attacks Detection Algorithm (VPD-ADA), which can identify the instability of the platoon dynamics model as a primary step for mitigating the impact of FDI and replay attacks. We use stochastic time series analysis to evaluate the impact of VPD attacks by the deviation anomalies of cartesian coordinates of vehicles from the expected trajectory determined by the platoon. Second, we introduce a Reputation-based Reliable Mitigation Algorithm (RRMA) that uses fused information from neighboring vehicles to decide the reliability of received messages.