Quanyan Zhu
Quanyan Zhu
Associate Professor at New York University
Track: Game Theory & Strategy
Game-Theoretic Analytics and Applications of Defensive Cyber Deception
Institutions are grappling with persistent cybersecurity challenges, facing a daunting landscape where a reactive strategy proves impractical at scale. What’s imperative is a shift towards a proactive approach. Notably, the threat landscape includes formidable concerns such as phishing attacks, APT (Advanced Persistent Threat), insider threats, and risks associated with operational technologies. A promising solution lies in the emerging field of cyber deception technologies, representing a transformative leap toward automated and proactive defenses. These innovations are instrumental in enhancing the security posture of enterprise networks and their cyber resilience. Game theory emerges as a natural and effective avenue for the analysis and design of cyber deception strategies. In this talk, we will delve into the application of game-theoretic methods and learning techniques to safeguard against insider threats and establish zero-trust networks. The talk will emphasize the crucial roles played by information advantage and decision dominance in developing cyber defenses. Furthermore, we will explore the synergy between game theory and foundational models and large language models to create cutting-edge technologies for a more secure digital landscape.
