Proceedings of the 2016 ACM Workshop on Moving Target Defense 2016
DOI: 10.1145/2995272.2995273
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Markov Modeling of Moving Target Defense Games

Abstract: We introduce a Markov-model-based framework for Moving Target Defense (MTD) analysis. The framework allows modeling of broad range of MTD strategies, provides general theorems about how the probability of a successful adversary defeating an MTD strategy is related to the amount of time/cost spent by the adversary, and shows how a multi-level composition of MTD strategies can be analyzed by a straightforward combination of the analysis for each one of these strategies. Within the proposed framework we define th… Show more

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Cited by 83 publications
(56 citation statements)
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References 32 publications
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“…Since MTD implementation leads to the change of system state, Manadhata et al [14] constructed two-player stochastic dynamic game model, and the impact of attack surface transformation on both offensive and defensive behaviors and system status is analyzed. Valizadeh et al [36] regard the state transition of MTD as Markov decision process. The impact of different MTD strategies selected at the next moment is analyzed based on it.…”
Section: (1) Strategy Selection Under Complete Information Assumptionmentioning
confidence: 99%
“…Since MTD implementation leads to the change of system state, Manadhata et al [14] constructed two-player stochastic dynamic game model, and the impact of attack surface transformation on both offensive and defensive behaviors and system status is analyzed. Valizadeh et al [36] regard the state transition of MTD as Markov decision process. The impact of different MTD strategies selected at the next moment is analyzed based on it.…”
Section: (1) Strategy Selection Under Complete Information Assumptionmentioning
confidence: 99%
“…Moving target defense (MTD) allows dynamic security strategies to limit the exposure of vulnerabilities and the effectiveness of the attacker's reconnaissance by increasing complexities and costs of attacks [14]. To achieve an effective MTD, [15] proposes the instruction set and the address space layout randomization, [16] studies the deceptive routing against jamming in multi-hop relay networks, and [17] uses the Markov chain to model the MTD process and discusses the optimal strategy to balance the defensive benefit and the network service quality.…”
Section: Literaturementioning
confidence: 99%
“…However, the above assumptions are usually limited to the attacking difficulty within a specific attack process, which makes it difficult to reflect the whole defense capability for the system. Some researchers also use the stochastic process theory to establish Markov process, assuming the probability of attack success and the probability of state transfer, and analyzing the probability of the system or network failure [27]. The deficiency lies in the difficulty in determining the variable values involved in the model.…”
Section: Attack Failure Ratementioning
confidence: 99%