Game theory for cyber deception a tutorial

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Deceptive and anti-deceptive technologies have been developed for various specific applications. But there is a significant need for a general, holistic, and quantitative framework of deception. Game theory provides an ideal set of tools to develop such a framework of deception. In particular, game theory captures the strategic and self-interested nature of attackers and defenders in cybersecurity. Additionally, control theory can be used to quantify the physical impact of attack and defense strategies. In this tutorial, we present an overview of game-theoretic models and design mechanisms for deception and counter-deception. The tutorial aims to provide a taxonomy of deception and counter-deception and understand how they can be conceptualized, quantified, and designed or mitigated. This tutorial gives an overview of diverse methodologies from game theory that includes games of incomplete information, dynamic games, mechanism design theory to offer a modern theoretic underpinning of cyberdeception. The tutorial will also discuss open problems and research challenges that the HoTSoS community can address and contribute with an objective to build a multidisciplinary bridge between cybersecurity, economics, game and decision theory.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th Annual Symposium on Hot Topics in the Science of Security, HotSoS 2019
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450371476
StatePublished - Apr 1 2019
Event6th Annual Symposium on Hot Topics in the Science of Security, HotSoS 2019 - Nashville, United States
Duration: Apr 1 2019Apr 3 2019

Publication series

NameACM International Conference Proceeding Series


Conference6th Annual Symposium on Hot Topics in the Science of Security, HotSoS 2019
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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