Secure Transportation Networks
Dr. Duminda Wijesekera
KEY INTERESTS
Intelligent transportation systems; NextG-based Edge services; Smart building and smart city infrastructure; Digital twin development; Defensive and offensive cyber operations
APPOINTMENTS/AFFILIATIONS
Professor, Department of Computer Science, Department of Cybersecurity Engineering, George Mason University
Chief Science & Technology Officer, GAIL
Fellow, Commonwealth Cyber Initiative
ACADEMIC DEGREES
PhD, Computer Science, University of Minnesota
PhD, Mathematical Logic, Cornell University
SECURE TRANSPORTATION NETWORKS
The primary objective of this project was to build an in-lab, in-field experimental system to investigate the safety and cybersecurity implications, under realistic conditions, to further advances in research, development, and prototyping of automated and connected vehicles. The National Highway Traffic Safety Administration (NHTSA) and Society of Automotive Engineers (SAE) describe six levels of automation, ranging from level 0 (no automation) through level 5 (full automation). To assure autonomous vehicles of levels 3 and above operate safely on the road, information is exchanged between these vehicles, detailing their respective views of their state and operating environment. Additionally, roadside units also transmit timely information (such as weather and road conditions, surrounding vehicles and their trajectories, etc.) to support operation of autonomous and semi-autonomous vehicles. This project built out an infrastructure to address the open and evolving research problems introduced by the evolution of autonomous vehicle communications.