Attack-Defense Trees and Two-Player Binary Zero-Sum Extensive Form Games Are Equivalent

被引:0
|
作者
Kordy, Barbara [1 ]
Mauw, Sjouke [1 ]
Melissen, Matthijs [1 ]
Schweitzer, Patrick [1 ]
机构
[1] Univ Luxembourg, Luxembourg, Luxembourg
来源
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Attack-defense trees are used to describe security weaknesses of a system and possible countermeasures. In this paper, the connection between attack-defense trees and game theory is made explicit. We show that attack-defense trees and binary zero-sum two-player extensive form games have equivalent expressive power when considering satisfiability, in the sense that they can be converted into each other while preserving their outcome and their internal structure.
引用
收藏
页码:245 / 256
页数:12
相关论文
共 50 条
  • [31] A dynamical neural network approach for solving stochastic two-player zero-sum games
    Wu, Dawen
    Lisser, Abdel
    NEURAL NETWORKS, 2022, 152 : 140 - 149
  • [32] Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
    Cai, Yang
    Luo, Haipeng
    Wei, Chen-Yu
    Zheng, Weiqiang
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [33] Solutions for zero-sum two-player games with noncompact decision sets and unbounded payoffs
    Feinberg, Eugene A.
    Kasyanov, Pavlo O.
    Zgurovsky, Michael Z.
    NAVAL RESEARCH LOGISTICS, 2023, 70 (05) : 493 - 506
  • [34] Sufficient Conditions for Optimality and Asymptotic Stability in Two-Player Zero-Sum Hybrid Games
    Jimenez Leudo, Santiago
    Sanfelice, Ricardo G
    HSCC 2022 - Proceedings of the 25th ACM International Conference on Hybrid Systems: Computation and Control, Part of CPS-IoT Week 2022, 2022,
  • [35] LP formulation of stochastic Bayesian two-player zero-sum games with long horizon
    Orpa, Nabiha Nasir
    Li, Lichun
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023,
  • [36] Covariance steering in zero-sum linear-quadratic two-player differential games
    Chen, Yongxin
    Georgiou, Tryphon T.
    Pavon, Michele
    2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 8204 - 8209
  • [37] Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games
    Chen, Zixiang
    Zhou, Dongruo
    Gu, Quanquan
    INTERNATIONAL CONFERENCE ON ALGORITHMIC LEARNING THEORY, VOL 167, 2022, 167
  • [38] A Generalized Minimax Q-Learning Algorithm for Two-Player Zero-Sum Stochastic Games
    Diddigi, Raghuram Bharadwaj
    Kamanchi, Chandramouli
    Bhatnagar, Shalabh
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (09) : 4816 - 4823
  • [39] On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games
    Perolat, Julien
    Piot, Bilal
    Scherrer, Bruno
    Pietquin, Olivier
    ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 51, 2016, 51 : 893 - 901
  • [40] Online Solution of Nonlinear Two-Player Zero-Sum Games Using Synchronous Policy Iteration
    Vamvoudakis, Kyriakos G.
    Lewis, F. L.
    49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, : 3040 - 3047