Cyber-Attack Forecast Modeling and Complexity Reduction Using a Game-Theoretic Framework

DOI10.1007/978-3-319-01159-2_4zbMath1302.93032OpenAlexW165977945MaRDI QIDQ2925499

Georgios Kotsalis, Malachi Jones, Jeff S. Shamma

Publication date: 16 October 2014

Published in: Control of Cyber-Physical Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-01159-2_4

zbMATH Keywords

game theoryasymmetric information gamesbelief compressioncyber-attack forecasting

Mathematics Subject Classification ID

Cites Work

• An analog of the minimax theorem for vector payoffs
• The LP formulation of finite zero-sum games with incomplete information
• Optimal strategies for the uninformed player
• ``Eventually revealing repeated games with incomplete information
• On the relation between finitely and infinitely repeated games with incomplete information
• Stochastic Games with a Single Controller and Incomplete Information
• Balanced Truncation for a Class of Stochastic Jump Linear Systems and Model Reduction for Hidden Markov Models
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Cyber-Attack Forecast Modeling and Complexity Reduction Using a Game-Theoretic Framework