Abstract
The game theory described in Chaps. 2 and 3 offers versatile possibilities for quantifying cyber deception. Yet specific game-theoretic models must be carefully chosen in order to model different types of deception. In this chapter, therefore, we propose a taxonomy that classifies deception into six categories. We then propose game-theoretic models that fittingly describe each category. Our analysis is based on both theoretical considerations and an empirical study of 25 recent articles in game theory for defensive cyber deception. The taxonomy provides a systematic foundation for understanding the three types of defensive deception that we study in Chaps. 5–7.
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Notes
- 1.
TrackMeNot, ConcealGAN, and other practical deception implementations mentioned in this section do not use game theory, so they are not included the 25 research works mentioned in Table 4.1.
- 2.
The most fine-grained species in a taxonomy are sometimes called the infimae species. Hence, we will sometimes refer to “types” of deception more formally as infimae species.
- 3.
Here, we consider one-shot games to be static even if they are not simultaneous-move games.
- 4.
Future research can consider cooperative games, but most current studies use non-cooperative models.
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Pawlick, J., Zhu, Q. (2021). A Taxonomy of Defensive Deception. In: Game Theory for Cyber Deception. Static & Dynamic Game Theory: Foundations & Applications. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-66065-9_4
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DOI: https://doi.org/10.1007/978-3-030-66065-9_4
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Publisher Name: Birkhäuser, Cham
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