Invitation: PhD Dissertation Defense — Han Jun Yoon (Dec 5, 10:00 AM–12:00 PM)
Dear CS Faculty and Graduate Students, You are cordially invited to attend the final PhD dissertation defense of Han Jun Yoon, to be held on: Date: Friday, December 5, 2025 Time: 10:00 AM – 12:00 PM Location: https://virginiatech.zoom.us/my/jicho Title: Cyber-Physical-Social Systems for Autonomous Defense: Enabling Mission-Centric, Adaptive, and Anytime Intelligence Abstract: Autonomous Cyber-Physical-Social Systems (CPSSs) are increasingly deployed in mission-critical domains such as transportation, defense, emergency response, and smart infrastructure. Their growing scale and interconnectivity introduce complex security challenges, especially under uncertain, adversarial environments. This dissertation presents a unified, trustworthy decision-making framework that enhances CPSS resilience through three integrated research tasks: mission impact assessment, uncertainty-aware intrusion response, and anytime probabilistic inference. First, I develop iMIA, an interdependent Mission Impact Assessment framework that models mission assets, services, and tasks using Subjective Bayesian Networks and captures attacker–defender perception gaps through Subjective Logic-based Hypergame Theory. iMIA identifies critical mission components and supports adaptive reinforcement to improve mission agility and resilience. Second, I design a Deep Reinforcement Learning (DRL)-based Intrusion Response System (IRS) for in-vehicle networks, capable of selecting optimal defense actions against diverse cyber threats. The system integrates sub-action spaces, entropy regularization, and human-in-the-loop feedback to support adaptive, interpretable, and robust cyber defense decision-making. Third, I propose an anytime simulation-based inference algorithm for Subjective Bayesian Networks, enabling efficient, real-time reasoning under computational constraints. By incorporating entropy- and Bayes factor-guided resource allocation, the method supports incremental, interruptible inference suitable for dynamic and resource-limited CPSS environments. Collectively, these contributions establish a holistic and scalable approach for mission-centric, adaptive, and anytime intelligence in autonomous CPSSs, advancing the state of resilient and trustworthy cyber defense. We hope you will join us in supporting Han Jun Yoon and engaging in the discussion. Best regards, Jin-Hee Cho
participants (1)
-
Cho, Jin-Hee