Speaker: | Bin Hu, Old Dominion University | |
When: | March 29, 2021, 9:00 am - 10:00 am | |
Where: | Zoom | |
Vehicular Networked Systems (VNS) are cyber-physical systems composed of autonomous vehicles exchanging information over vehicular communication networks. A safe and secure VNS is capable of maintaining active situational awareness of surrounding threats, and recovering from adversarial attacks with safety guarantee. Building a safe and secure VNS, however, is challenging because the vehicular networks are vulnerable to malicious attacks such as jamming attacks, and are subject to deep fading where characteristics of communication channels stochastically change as a function of the vehicle’s physical states. To address these cybersecurity and safety challenges in VNS, I will present a novel probabilistic approach that characterizes both jamming attacks and state-dependent channel fading in a unified framework. This probabilistic framework generalizes the state-of-art models for jamming attacks and channel fading. Building upon this probabilistic model, I will then show the development of a distributed switching control strategy to address the safety and security issues in VNS where both jamming attacks and channel fading are present. Moreover, I will introduce a novel event-based adaptive power control scheme to ensure efficient use of communication resources while preserving system security against jamming attacks. Other on-going work and future research directions will be discussed at the end of this talk. Zoom Link: https://gmu.zoom.us/j/98284315473
Dr. Bin Hu is currently an Assistant Professor in the Department of Engineering Technology at Old Dominion University, where he has been a faculty member since 2017. He received his Ph.D. degree from the Department of Electrical Engineering at the University of Notre Dame in 2016. Prior to joining ODU, he was a research intern at Mitsubishi Electric Research Lab (MERL) from May 2015 to August 2015.