Connected Autonomous Vehicle (CAV) is a breakthrough technology in the era of Internet of Things. The development of CAV will be a life changer for the future. The heart of CAV research includes Inter CAV communication, Security of CAVs, Collision free navigation, Intersection control and Pedestrian detection and protection. The various communication of the CAV can be singularized as Vehicle to everything (V2X) which will include vehicle to mobile, vehicle to vehicle, vehicle to infrastructure, vehicle to grid, vehicle to pedestrian. Connectivity is the core of CAV with a large number of computer systems to monitor and control the vehicles. Increasing the computational efficiency and connectivity will make the system more vulnerable to cyber-attacks and threats. The Potential Threats faced by a CAV can be classified into Active and Passive which can affect safety of individual, security of assets and privacy of Individuals. Objective of this research is to Leverage Artificial Intelligence for secure CAVs by investigating the impact of malicious attacks on messages sent between vehicles and build suitable AI models to ensure that the vehicle always behaves correctly when faced with unexpected situations or malicious attacks. This research has a collaboration with TNO, Netherlands.
Collaborations with Universities / Industry Partnerships
Dr. Shaji Krishnan
Senior Scientist TNO, Netherlands
