Detection and Mitigation of Cyber-Physical Attacks on Future Autonomous Robotic Vehicle Systems
Application Id: | 543535-2019 | ||
Competition Year: | 2019 | Fiscal Year: | 2019-2020 |
Project Lead Name: | AlJanaideh, Mohammad | Institution: | Memorial University of Newfoundland |
Department: | Engineering and Applied Science, Faculty of | Province: | Newfoundland and Labrador |
Award Amount: | $25,000 | Installment: | 1 - 1 |
Program: | Engage Grants Program | Selection Committee: | Atlantic Internal Decision Committee |
Research Subject: | Control systems | Area of Application: | Engineering |
Co-Researchers: | No Co-Researcher | Partners: | No Partners |
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.
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