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
  • [41] Algorithms for uniform optimal strategies in two-player zero-sum stochastic games with perfect information
    Avrachenkov, Konstantin
    Cottatellucci, Laura
    Maggi, Lorenzo
    OPERATIONS RESEARCH LETTERS, 2012, 40 (01) : 56 - 60
  • [42] The Lagging Anchor Algorithm: Reinforcement Learning in Two-Player Zero-Sum Games with Imperfect Information
    Fredrik A. Dahl
    Machine Learning, 2002, 49 : 5 - 37
  • [43] GPI-Based design for partially unknown nonlinear two-player zero-sum games
    Yu, Lin
    Xiong, Junlin
    Xie, Min
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 360 (03): : 2068 - 2088
  • [44] Online solution of nonlinear two-player zero-sum games using synchronous policy iteration
    Vamvoudakis, Kyriakos G.
    Lewis, F.L.
    International Journal of Robust and Nonlinear Control, 2012, 22 (13): : 1460 - 1483
  • [45] Decentralized Single-Timescale Actor Critic on Zero-Sum Two-Player Stochastic Games
    Guo, Hongyi
    Fu, Zuyue
    Yang, Zhuoran
    Wang, Zhaoran
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 2021, 139
  • [46] Online solution of nonlinear two-player zero-sum games using synchronous policy iteration
    Vamvoudakis, Kyriakos G.
    Lewis, F. L.
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2012, 22 (13) : 1460 - 1483
  • [47] Sufficient Conditions for Optimality in Finite-Horizon Two-Player Zero-Sum Hybrid Games
    Leudo, Santiago J.
    Sanfelice, Ricardo G.
    2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), 2022, : 3268 - 3273
  • [48] Policy gradient algorithm and its convergence analysis for two-player zero-sum Markov games
    Wang Z.
    Li Y.
    Feng Y.
    Feng Y.
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2024, 58 (03): : 480 - 491
  • [49] The lagging anchor algorithm: Reinforcement learning in two-player zero-sum games with imperfect information
    Dahl, FA
    MACHINE LEARNING, 2002, 49 (01) : 5 - 37
  • [50] A Meta-evolutionary Learning Algorithm for Opponent Adaptation in Two-player Zero-sum Games
    Wu Z.
    Li K.
    Xu H.
    Xing J.-L.
    Zidonghua Xuebao/Acta Automatica Sinica, 2022, 48 (10): : 2462 - 2473