Friday, January 21, 2022
Cyber Resilience Analytics for Cyber-Physical Systems by Md Ariful Haque, Ph.D. Candidate from the Department of Computational Modeling and Simulation Engineering at Old Dominion University
Cyber-physical systems (CPSs) are complex systems that evolve from the integrations of components dealing with physical processes and real-time computations, along with networking. CPSs often incorporate approaches merging from different scientific fields such as embedded systems, control systems, operational technology, information technology systems (ITS), and cybernetics. Today critical infrastructures (CIs) (e.g., energy systems, electric grids, etc.) and other CPSs (e.g., manufacturing industries, autonomous transportation systems, etc.) are experiencing challenges in dealing with cyberattacks. Major cybersecurity concerns are rising around CPSs because of their ever-growing use of information technology-based automation. Often the security concerns are limited to probability-based attack and risk modeling. Others focus on developing intrusion detection and prevention systems most of which are applicable for information technology systems and lack in considering the underlying system complexity.
To make the CPSs resilient, it needs to develop formal techniques to quantify security, risk, and resilience. This presentation will cover a graph-theoretic approach for deriving the operational impacts of the cyberattack on the mission-oriented CPSs. The presentation will also cover how to leverage artificial intelligence in deriving additional insights from the traditional attack graph-based model to enhance the security and resilience assessment. I hope the audience will get an overall understanding of the CPS security assessment and resilience techniques and integration of artificial intelligence in the security assessment process for the cyber-physical systems.
Md Ariful Haque is a Ph.D. candidate and graduate research assistant at the Department of Computational Modeling and Simulation Engineering at Old Dominion University (ODU). He has earned a Master of Science (M.S.) from ODU in 2018. He also holds an M.B.A. and Bachelor of Science in Electrical and Electronic Engineering. In his graduate research, Mr. Haque focuses on developing cyber resilience analytics for cyber-physical systems and has published numerous book chapters and conference papers. His research interests include but are not limited to network security, system resiliency, machine learning algorithms, artificial intelligence-driven secure applications, cyber-physical systems security, 5G security, Blockchain, and smart city research, etc.
All lectures to be held at 3:00pm on Fridays online: Zoom link
For more information, contact Dr. Chung Hao Chen at (757) 683-3475 or email firstname.lastname@example.org.