Quanyan Zhu, Rae Zimmerman, Secure Strategies for Vehicular Ad Hoc Networks in CAV
A Vehicular Ad hoc Network (VANET) is a recent innovation in information and communication technologies to allow communications among vehicles and enable a connected and autonomous transportation system. However, its security and resilience are of serious concern. This talk aims to give an overview of cybersecurity threats and models in transportation systems. We will present computational and analytical frameworks that have been developed to assess cyber risks of connected and autonomous vehicles (CAVs) and develop detection techniques based on learning algorithms. We integrate multi-modal connectivity as one of the primary resilience mechanisms to allow transportation networks to adapt and reconfigure to CAVs, evaluated as scenarios in the context of trip purposes and human attitudes toward the use of CAVs.
Quanyan Zhu, after spending time at Princeton, is currently an associate professor at the Department of Electrical and Computer Engineering, New York University (NYU). He is an affiliated faculty member of the Center for Urban Science and Progress (CUSP) at NYU. His current research interests include game theory, machine learning, cyber deception, network optimization and control, Internet of Things, and cyber-physical systems. Education: B. Eng. in Honors Electrical Engineering from McGill University in 2006, M. A. Sc. from the University of Toronto in 2008, and Ph.D. from the University of Illinois at Urbana- Champaign (UIUC) in 2013
Rae Zimmerman is Research Professor and Professor Emerita of Planning and Public Administration at New York University’s Robert F. Wagner Graduate School of Public Service, after being a full-time professor for many years, and is Director of the School’s Institute for Civil Infrastructure Systems (ICIS), initially funded by the National Science Foundation (NSF). Education: B.A. Chemistry, University of California (Berkeley), Master of City Planning, The University of Pennsylvania and Ph.D. Planning, Columbia University.