Optimal network defense strategy selection based on Bayesian game

被引：0
|
作者：
Wang Z.-G. [1 ]
Lu Y. [1 ]
Li X. [1 ]
机构：
[1] Shijiazhuang Campus of Army Engineering University, Shijiazhuang
来源：
International Journal of Security and Networks | 2020年 / 15卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Attack-defence payoffs; Bayesian game; Defence effectiveness; Incomplete information; Nash equilibrium; Network attack-defence process; Network security; Optimal defence strategy; Pure strategy; Strategy selection;
D O I：
10.1504/IJSN.2020.106830
中图分类号：
学科分类号：
摘要：
Existing passive defence methods cannot effectively guarantee network security; to solve this problem, a novel method is proposed that selects the optimal defence strategy. The network attack-defence process is modelled based on the Bayesian game. The payoff is quantified from the impact value of the attack-defence actions. The optimal defence strategy is selected that takes defence effectiveness as the criterion. The rationality and feasibility of the method are verified through a representative example, and the general rules of network defence are summarised. Compared to the classic strategy selection methods based on game theory, the proposed method can select the optimal strategy in the form of pure strategy by quantifying defence effectiveness, which was proven to perform better. Copyright © 2020 Inderscience Enterprises Ltd.
引用
收藏
页码：67 / 77
页数：10
相关论文
共 50 条
  • [1] Optimal Network Defense Strategy Selection Based on Markov Bayesian Game
    Wang, Zengguang
    Lu, Yu
    Li, Xi
    Nie, Wei
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 13 (11): : 5631 - 5652
  • [2] Optimal Network Defense Strategy Selection Based on Incomplete Information Evolutionary Game
    Hu, Hao
    Liu, Yuling
    Zhang, Hongqi
    Pan, Ruixuan
    IEEE ACCESS, 2018, 6 : 29806 - 29821
  • [3] Active defense strategy selection based on the static Bayesian game
    Wang J.
    Yu D.
    Zhang H.
    Wang N.
    Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2016, 43 (01): : 144 - 150
  • [4] Optimal strategy selection method for moving target defense based on signaling game
    Jiang L.
    Zhang H.
    Wang J.
    Tongxin Xuebao/Journal on Communications, 2019, 40 (06): : 128 - 137
  • [5] Research on the game of network security attack-defense confrontation through the optimal defense strategy
    Liu, Fei
    Gao, Hongyan
    Wei, Zegang
    SECURITY AND PRIVACY, 2021, 4 (01)
  • [6] Attack-Defense Differential Game Model for Network Defense Strategy Selection
    Zhang, Hengwei
    Jiang, Lv
    Huang, Shirui
    Wang, Jindong
    Zhang, Yuchen
    IEEE ACCESS, 2019, 7 : 50618 - 50629
  • [7] Active Defense Strategy Selection of Military Information Network Based on Incomplete Information Game
    Wang Z.
    Lu Y.
    Li X.
    Binggong Xuebao/Acta Armamentarii, 2020, 41 (03): : 608 - 617
  • [8] Optimal Strategy for Cyberspace Mimic Defense Based on Game Theory
    Chen, Zequan
    Cui, Gang
    Zhang, Lin
    Yang, Xin
    Li, Hui
    Zhao, Yan
    Ma, Chengtao
    Sun, Tao
    IEEE ACCESS, 2021, 9 : 68376 - 68386
  • [9] Optimal scheduling scheme selection model and algorithm based on the Bayesian game of cloud computing resources
    Niu, Kan
    Zhang, Hengwei
    Wang, Jindong
    Wang, Na
    Li, Tao
    ENERGY SCIENCE AND APPLIED TECHNOLOGY (ESAT 2016), 2016, : 589 - 593
  • [10] Pareto Optimal Solutions for Network Defense Strategy Selection Simulator in Multi-Objective Reinforcement Learning
    Sun, Yang
    Li, Yun
    Xiong, Wei
    Yao, Zhonghua
    Moniz, Krishna
    Zahir, Ahmed
    APPLIED SCIENCES-BASEL, 2018, 8 (01):
12345