Deception Attack Detection and Resilient Control in Platoon of Smart Vehicles

Platooning of smart vehicles would be an important application of multi-agent systems. Each member of a multi-agent system is vulnerable to malicious attacks. Cyber attacks including deception attacks can inject false data into the information sent through the local feedback links of vehicles in the platoon. The attacked agents might deviate from the specified route in the group. Furthermore, due to the cooperation between agents, the effect of attack can snowball into other agents and destabilize the whole system. In this paper, a resilient vehicular control strategy is proposed against deception attack to retrieve the attacked agent to rejoin the platoon. Moreover, the detection of a vehicle under deception attack will be done by incorporating a high-gain observer. At the end, the case study demonstrates the capability of the proposed procedure.