A Taxonomy of Defensive Deception

Jeffrey Pawlick, Quanyan Zhu

Research output: Chapter in Book/Report/Conference proceedingChapter


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.

Original languageEnglish (US)
Title of host publicationStatic and Dynamic Game Theory
Subtitle of host publicationFoundations and Applications
Number of pages12
StatePublished - 2021

Publication series

NameStatic and Dynamic Game Theory: Foundations and Applications
ISSN (Print)2363-8516
ISSN (Electronic)2363-8524

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Applied Mathematics


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