Vol. 14, No. 10, October 31, 2020
10.3837/tiis.2020.10.013,
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Abstract
Moving target defense, as a ‘game-changing’ security technique for network warfare, realizes
proactive defense by increasing network dynamics, uncertainty and redundancy. How to select
the best countermeasure from the candidate countermeasures to maximize defense payoff
becomes one of the core issues. In order to improve the dynamic analysis for existing
decision-making, a novel approach of selecting the optimal countermeasure using game theory
is proposed. Based on the signal game theory, a multi-stage adversary model for dynamic
defense is established. Afterwards, the payoffs of candidate attack-defense strategies are
quantified from the viewpoint of attack surface transfer. Then the perfect Bayesian
equilibrium is calculated. The inference of attacker type is presented through signal reception
and recognition. Finally the countermeasure for selecting optimal defense strategy is designed
on the tradeoff between defense cost and benefit for dynamic network. A case study of
attack-defense confrontation in small-scale LAN shows that the proposed approach is correct
and efficient.
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Cite this article
[IEEE Style]
H. Hu, J. Liu, J. Tan, J. Liu, "SOCMTD: Selecting Optimal Countermeasure for Moving Target Defense Using Dynamic Game," KSII Transactions on Internet and Information Systems, vol. 14, no. 10, pp. 4157-4175, 2020. DOI: 10.3837/tiis.2020.10.013.
[ACM Style]
Hao Hu, Jing Liu, Jinglei Tan, and Jiang Liu. 2020. SOCMTD: Selecting Optimal Countermeasure for Moving Target Defense Using Dynamic Game. KSII Transactions on Internet and Information Systems, 14, 10, (2020), 4157-4175. DOI: 10.3837/tiis.2020.10.013.
[BibTeX Style]
@article{tiis:23925, title="SOCMTD: Selecting Optimal Countermeasure for Moving Target Defense Using Dynamic Game", author="Hao Hu and Jing Liu and Jinglei Tan and Jiang Liu and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2020.10.013}, volume={14}, number={10}, year="2020", month={October}, pages={4157-4175}}