Enforcing Optimal Moving Target Defense Policies
Enforcing Optimal Moving Target Defense Policies
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DOI：
10.1109/compsac.2019.00112
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发表时间：
2019-07
期刊：
影响因子：
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通讯作者：
Jianjun Zheng;A. Namin
中科院分区：
文献类型：
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作者：
Jianjun Zheng;A. Namin
介绍了一种基于控制论的移动目标防御(MTD)部署策略建模、分析和选择方法。提出了一种马尔可夫决策过程(MDP)方案，从攻击的角度对系统的状态进行建模。所采用的值迭代法基于Bellman最优性方程，为系统中定义的每个状态选择最优策略。然后利用该模型分析了各种成本对最优策略的影响。然后将MDP模型应用于两个案例研究，以评估模型的性能。
This paper introduces an approach based on control theory to model, analyze and select optimal security policies for Moving Target Defense (MTD) deployment strategies. A Markov Decision Process (MDP) scheme is presented to model states of the system from attacking point of view. The employed value iteration method is based on the Bellman optimality equation for optimal policy selection for each state defined in the system. The model is then utilized to analyze the impact of various costs on the optimal policy. The MDP model is then applied to two case studies to evaluate the performance of the model.