Reachable Set Analysis of Vehicular Platooning in Adversarial Environment

In this paper, we propose a method based on reachable set theory to investigate adversarial behavior in automated vehicle platoons. Vehicular platoons have been developed to increase highway throughput and safety, and to enhance driving comfort. The resulting deployment of cyber-physical technology in critical infrastructure is increasingly attractive to both hackers and security researchers. To ensure safety and privacy of vehicle occupants, it is essential to identify the vulnerabilities of platoon systems. In this paper, we study the attacker's capabilities under input constraints during two types of attack: motion modification and integral attacks. Using ellipsoidal techniques, we investigate the extent of an attacker's ability to manipulate the control variables and states of a platoon resulting in oscillatory motion or collision. The outcomes of our analysis are demonstrated by an example.