Enforcing Optimal Moving Target Defense Policies

被引：4
|
作者：
Zheng, Jianjun [1 ]
Namin, Akbar Siami [1 ]
机构：
[1] Texas Tech Univ, Dept Comp Sci, Lubbock, TX 79409 USA
来源：
2019 IEEE 43RD ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 1 | 2019年
基金：
美国国家科学基金会;
关键词：
Moving Target Defense; Markov Decision;
D O I：
10.1109/COMPSAC.2019.00112
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：753 / 759
页数：7
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