Foundations of Cyber Resilience: The Confluence of Game, Control, and Learning Theories
Quanyan Zhu

TL;DR
This paper explores the integration of game theory, control theory, and learning theories to establish a systematic, quantitative foundation for designing and analyzing cyber resilience mechanisms against evolving cyber threats.
Contribution
It introduces a unified theoretical framework combining game, control, and learning theories for cyber resilience, advancing the understanding of strategic, adaptive, and data-driven defense mechanisms.
Findings
Development of dynamic asymmetric game models
Application of moving horizon control for adaptive responses
Use of conjectural and meta-learning for proactive threat reasoning
Abstract
Cyber resilience is a complementary concept to cybersecurity, focusing on the preparation, response, and recovery from cyber threats that are challenging to prevent. Organizations increasingly face such threats in an evolving cyber threat landscape. Understanding and establishing foundations for cyber resilience provide a quantitative and systematic approach to cyber risk assessment, mitigation policy evaluation, and risk-informed defense design. A systems-scientific view toward cyber risks provides holistic and system-level solutions. This chapter starts with a systemic view toward cyber risks and presents the confluence of game theory, control theory, and learning theories, which are three major pillars for the design of cyber resilience mechanisms to counteract increasingly sophisticated and evolving threats in our networks and organizations. Game and control theoretic methods…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInformation and Cyber Security · Infrastructure Resilience and Vulnerability Analysis · Complex Systems and Decision Making
MethodsSparse Evolutionary Training
