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Bayesian hypergame approach to equilibrium stability and robustness in moving target defense
Shanghai Research Institute for Autonomous Intelligent Systems, Tongji University, Shanghai, China.
University of Chinese Academy of Science, Academy of Mathematics and System Science, Chinese Academy of Science, Beijing, China.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). (Digital Futures)ORCID iD: 0000-0003-0698-7910
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). (Digital Futures)ORCID iD: 0000-0001-9940-5929
2024 (English)In: 2024 IEEE 63rd Conference on Decision and Control, CDC 2024, Institute of Electrical and Electronics Engineers (IEEE) , 2024, p. 3948-3953Conference paper, Published paper (Refereed)
Abstract [en]

We investigate the equilibrium stability and robustness in a class of moving target defense problems, in which players have both incomplete information and asymmetric cognition. We first establish a Bayesian Stackelberg game model for incomplete information and then employ a hypergame reformulation to address asymmetric cognition. With the core concept of the hyper Bayesian Nash equilibrium (HBNE), a condition for achieving both the strategic and cognitive stability in equilibria can be realized by solving linear equations. Moreover, to deal with players' underlying perturbed knowledge, we study the equilibrium robustness by presenting a condition of robust HBNE under the given configuration. Experiments evaluate our theoretical results.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. p. 3948-3953
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-361745DOI: 10.1109/CDC56724.2024.10885834Scopus ID: 2-s2.0-86000615552OAI: oai:DiVA.org:kth-361745DiVA, id: diva2:1948012
Conference
63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, Dec 16 2024 - Dec 19 2024
Note

Part of ISBN 9798350316339

QC 20250401

Available from: 2025-03-27 Created: 2025-03-27 Last updated: 2025-04-01Bibliographically approved

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Chen, GuanpuJohansson, Karl H.

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
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  • en-US
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  • nn-NO
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Output format
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  • asciidoc
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