Detection and Resilience Mechanisms Against Cyber-attacks in Connected Automated Vehicle Platoons

The progress of Connected Automated Vehicles (CAV) as an important part in Cyber-Physical Systems has revolutionized the framework of transportation. Vehicle platoons are a series of interconnected CAVs that significantly enhances safety, efficiency, travel distance and response time. It can also reduce traffic congestion, mitigate pollution, and improve riding comfortable of passengers. However, with the development of CAV technologies, the transmission of information between vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) is vulnerable to attacks by attackers. This may cause potential threats to network security. These platoons are exposed to cyber-attacks, which need further research. This thesis addresses the vulnerability of CAV platoons to Denial of Service (DoS) attacks and ensures the security of the platoon under the attack. This research mainly focuses on two aspects for Cooperative Adaptive Cruise Control (CACC) platoons under DoS attacks, which are detection mechanisms and resilience mechanisms respectively.