A survey: When moving target defense meets game theory

计算机科学 博弈论 领域(数学) 选择(遗传算法) 有限理性 决策论 运筹学 理性 计算机安全 空格(标点符号) 管理科学 人工智能 数理经济学 法学 数学 纯数学 操作系统 经济 统计 政治学
作者
Jinglei Tan,Hui Jin,Hongqi Zhang,Hongqi Zhang,Yuchen Zhang,Dexian Chang,Xiaohu Liu,Hengwei Zhang,Hengwei Zhang
出处
期刊:Computer Science Review [Elsevier BV]
卷期号:48: 100544-100544 被引量:63
标识
DOI:10.1016/j.cosrev.2023.100544
摘要

Moving target defense (MTD) can break through asymmetry between attackers and defenders. To improve the effectiveness of cybersecurity defense techniques, defense requires not only advanced and practical defense technologies but effective, scientific decision-making methods. Due to complex attacker–defender interaction, autonomous, automatic, accurate, and effective selection of the optimal strategy is a challenging topic in the field of MTD. The essence of cybersecurity lies in the interaction between the attacker and defender. Game theory is a useful mathematical tool for strategy selection in a competitive environment. It provides strong theoretical support for the analysis of cyberattack and defense behaviors and subsequent decision-making, and can significantly improve the decision-making ability of MTD. This study presents the basic concepts of MTD and game theory, followed by a literature review, to study MTD decision-making methods based on game theory from the dimensions of space, time, space–time, and bounded rationality. Limitations of MTD game decision-making studies are discussed, as well as research directions, to provide references for future research.
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