Detection and Mitigation of Cyber-Physical Attacks on Future Autonomous Robotic Vehicle Systems

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Cyber-physical Mechatronic Systems (CPMS) are complex systems that integrate sensors, communication networks, actuators, and control schemes with conventional physical systems. Integration of sensory and cyber-enabled control into traditional physical systems greatly enhances operation and resilience by facilitating situational awareness, distributed algorithms and control. One of the most well-known CPMS is the Connected Autonomous Vehicle Network. As these systems grow in complexity, their reliable operation requires control systems that are responsive to advanced cyber-threats. From the cyber perspective, securing the automated vehicles from malicious cyber-attacks is still a challenge. As such, this Engage proposal, through a collaboration between the PI's research group at the Memorial University and Quanser aims to develop an experimental study for the teaching and research purposes that: (i) simulate the main challenges of the future Connected Autonomous Vehicle Networks CAV through Autonomous Vehicles Research Studio (AVRS), and (ii) develop new health monitoring technique and a control system that can mitigate the cyber-physical attacks on actuators and sensors of the AVRS.