A survey of defensive deception: Approaches using game theory and machine learning

M Zhu, AH Anwar, Z Wan, JH Cho… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Defensive deception is a promising approach for cyber defense. Via defensive deception, a
defender can anticipate and prevent attacks by misleading or luring an attacker, or hiding …

Game-theoretic and machine learning-based approaches for defensive deception: A survey

M Zhu, AH Anwar, Z Wan, JH Cho, C Kamhoua… - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

Exploring information asymmetry in two-stage security games

H Xu, Z Rabinovich, S Dughmi, M Tambe - Proceedings of the AAAI …, 2015 - ojs.aaai.org
Stackelberg security games have been widely deployed to protect real-word assets. The
main solution concept there is the Strong Stackelberg Equilibrium (SSE), which optimizes …

Foureye: Defensive deception against advanced persistent threats via hypergame theory

Z Wan, JH Cho, M Zhu, AH Anwar… - … on Network and …, 2021 - ieeexplore.ieee.org
Defensive deception techniques have emerged as a promising proactive defense
mechanism to mislead an attacker and thereby achieve attack failure. However, most game …

Imitative follower deception in stackelberg games

J Gan, H Xu, Q Guo, L Tran-Thanh… - Proceedings of the …, 2019 - dl.acm.org
Information uncertainty is one of the major challenges facing applications of game theory. In
the context of Stackelberg games, various approaches have been proposed to deal with the …

Modeling and analysis of deception games based on hypergame theory

JH Cho, M Zhu, M Singh - Autonomous Cyber Deception: Reasoning …, 2019 - Springer
In this chapter, we discuss a deception game where attackers and defenders can have
different perceptions towards a given situation. Although existing game theories have …

Flipit Game Deception Strategy Selection Method Based on Deep Reinforcement Learning

W He, J Tan, Y Guo, K Shang… - International Journal of …, 2023 - Wiley Online Library
The existing cyber deception decision‐making model based on game theory primarily
focuses on the selection of spatial strategies, which ignores the optimal defense timing and …

Learning and planning in the feature deception problem

ZR Shi, AD Procaccia, KS Chan, S Venkatesan… - Decision and Game …, 2020 - Springer
Today's high-stakes adversarial interactions feature attackers who constantly breach the
ever-improving security measures. Deception mitigates the defender's loss by misleading …

Foureye: Defensive deception based on hypergame theory against advanced persistent threats

Z Wan, JH Cho, M Zhu, AH Anwar, C Kamhoua… - arXiv preprint arXiv …, 2021 - arxiv.org
Defensive deception techniques have emerged as a promising proactive defense
mechanism to mislead an attacker and thereby achieve attack failure. However, most game …

Optimizing honey traffic using game theory and adversarial learning

MS Miah, M Zhu, A Granados, N Sharmin… - … , Strategies, and Human …, 2022 - Springer
Enterprises are increasingly concerned about adversaries that slowly and deliberately
exploit resources over the course of months or even years. A key step in this kill chain is …