• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Optimal Network Defense Strategy Selection Based on Markov Bayesian Game

Vol. 13, No. 11, November 30, 2019
10.3837/tiis.2019.11.020, Download Paper (Free):

Abstract

The existing defense strategy selection methods based on game theory basically select the optimal defense strategy in the form of mixed strategy. However, it is hard for network managers to understand and implement the defense strategy in this way. To address this problem, we constructed the incomplete information stochastic game model for the dynamic analysis to predict multi-stage attack-defense process by combining Bayesian game theory and the Markov decision-making method. In addition, the payoffs are quantified from the impact value of attack-defense actions. Based on previous statements, we designed an optimal defense strategy selection method. The optimal defense strategy is selected, which regards defense effectiveness as the criterion. The proposed method is feasibly verified via a representative experiment. Compared to the classical strategy selection methods based on the game theory, the proposed method can select the optimal strategy of the multi-stage attack-defense process in the form of pure strategy, which has been proved more operable than the compared ones.


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Cite this article

[IEEE Style]
Z. Wang, Y. Lu, X. Li, W. Nie, "Optimal Network Defense Strategy Selection Based on Markov Bayesian Game," KSII Transactions on Internet and Information Systems, vol. 13, no. 11, pp. 5631-5652, 2019. DOI: 10.3837/tiis.2019.11.020.

[ACM Style]
Zengguang Wang, Yu Lu, Xi Li, and Wei Nie. 2019. Optimal Network Defense Strategy Selection Based on Markov Bayesian Game. KSII Transactions on Internet and Information Systems, 13, 11, (2019), 5631-5652. DOI: 10.3837/tiis.2019.11.020.

[BibTeX Style]
@article{tiis:22301, title="Optimal Network Defense Strategy Selection Based on Markov Bayesian Game", author="Zengguang Wang and Yu Lu and Xi Li and Wei Nie and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2019.11.020}, volume={13}, number={11}, year="2019", month={November}, pages={5631-5652}}