Empirical game-theoretic methods for adaptive cyber-defense

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Abstract

Game-theoretic applications in cyber-security are often restricted by the need to simplify complex domains to render them amenable to analysis. In the empirical game-theoretic analysis approach, games are modeled by simulation, thus significantly increasing the level of complexity that can be addressed. We survey applications of this approach to scenarios of adaptive cyber-defense, illustrating how the method operates, and assessing its strengths and limitations.

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Wellman, M. P., Nguyen, T. H., & Wright, M. (2019). Empirical game-theoretic methods for adaptive cyber-defense. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11830 LNCS, pp. 112–128). Springer Verlag. https://doi.org/10.1007/978-3-030-30719-6_6

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