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Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey
[article]
2021
arXiv
pre-print
Defensive deception is a promising approach for cyber defense. Via defensive deception, the defender can anticipate attacker actions; it can mislead or lure attacker, or hide real resources. Although defensive deception is increasingly popular in the research community, there has not been a systematic investigation of its key components, the underlying principles, and its tradeoffs in various problem settings. This survey paper focuses on defensive deception research centered on game theory and
arXiv:2101.10121v2
fatcat:ko2mzzvyerehnfxbwgeuz72ilu