Cross-Layered Design for Security and Resilience in AI-Driven Cyber Physical Human Systems
Автор: IEEE Control Systems Society Security and Privacy
Загружено: 2025-12-01
Просмотров: 29
Rising Star Symposium on Cyber-Physical Systems Security, Resilience, and Privacy
https://shorturl.at/C3RZy
By Ya-Ting Yang, New York University
https://scholar.google.com/citations?...
Modern societies increasingly rely on AI-driven cyber-physical-human systems (CPHSs), such as intelligent transportation, industrial automation, and other critical infrastructure. While these systems promise efficiency and intelligence, they also introduce new vulnerabilities where security, privacy, and resilience are tightly coupled with human trust. A central question arises: how can we design socio-technical systems that remain trustworthy and resilient even in the presence of adversarial manipulation and the cognitive biases of human decision-makers? In this talk, we will present a research agenda that develops principled and computationally tractable frameworks for understanding trust in CPHSs. We will walk through four key perspectives: assessing trust via meta-game analysis of human–CPS interactions, building trust in AI through crowd auditing and accountability mechanisms, exploiting trust in adversaries through defensive deception, and maintaining user trust under misinformation with information design strategies. These frameworks will be illustrated through case studies in critical CPHS domains. We will conclude by outlining future directions toward resilient, cognitive-aware CPHSs.
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