Dynamic Games for Adaptive Cyber Defense
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 3884
Special Issue Editors
Interests: cybersecurity; complex networks; game theory; dynamical systems
Interests: IoT security and privacy; active defense; social network analysis; blockchain
Special Issue Information
Dear Colleagues,
The increasing instances of emerging cyberattacks, as well as their adaptive, stealthy, and deceptive features, call for strategic and adaptive cyber defense approaches. Game theory, a tool for analyzing interactive decision-making processes, has been extensively applied to cybersecurity. In particular, dynamic games, ranging from repeated game and Stackelberg game to signaling game and differential game, provide promising and systematic frameworks to find intelligent and adaptive defensive strategies in various domain-specific security configurations such as moving-target defense and Honey X.
This Special Issue will focus on recent advances in theoretical and applied studies of game-theoretic cybersecurity, with emphasis on how in-depth investigations of dynamic games support decision making towards intelligent and adaptive cyber defense. The Issue aims to bring together computer scientists, mathematicians, and physicists to enrich the research area. Potential topics include, but are not limited to, the following:
- Repeated game for cyber defense;
- Stackelberg game for cyber defense;
- Signaling game for cyber defense;
- Differential game for cyber defense;
- Markov decision process model for cyber defense;
- Reinforcement learning for cyber defense.
Dr. Lu-Xing Yang
Dr. Frank Jiang
Dr. Chenquan Gan
Guest Editors
Manuscript Submission Information
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Keywords
- game theory
- dynamic game
- cybersecurity
- adaptive defense
