Game theory on attack graph for cyber deception

DOI10.1007/978-3-030-64793-3_24zbMath1484.91030OpenAlexW3114455162MaRDI QIDQ2056965

Charles A. Kamhoua, Ahmed H. Anwar

Publication date: 8 December 2021

Full work available at URL: https://doi.org/10.1007/978-3-030-64793-3_24

zbMATH Keywords

game theorynetwork securityhypergameattack graphcyber deceptionpartial observable stochastic game

Mathematics Subject Classification ID

Noncooperative games (91A10) Games involving graphs (91A43) Stochastic games, stochastic differential games (91A15)

Cites Work

• Unnamed Item
• Unnamed Item
• New complexity results about Nash equilibria
• Harnessing the power of deception in attack graph-based security games
• Decoy allocation games on graphs with temporal logic objectives
• Blocking adversarial influence in social networks
• A game theoretic framework for software diversity for network security
• Partially observable stochastic games for cyber deception against network epidemic
• Approximate Solutions for Attack Graph Games with Imperfect Information
• The Complexity of Markov Decision Processes
• Honeypot Allocation Games over Attack Graphs for Cyber Deception
• Game Theory and Machine Learning for Cyber Security