文章基本信息

标题：Game Theory Based Network Security
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作者：Yi Luo ; Ferenc Szidarovszky ; Youssif Al-Nashif 等
期刊名称：Journal of Information Security
印刷版ISSN：2153-1234
电子版ISSN：2153-1242
出版年度：2010
卷号：1
期号：1
页码：41-44
DOI：10.4236/jis.2010.11005
出版社：Scientific Research Publishing
摘要：The interactions between attackers and network administrator are modeled as a non-cooperative non-zero-sum dynamic game with incomplete information, which considers the uncertainty and the special properties of multi-stage attacks. The model is a Fictitious Play approach along a special game tree when the attacker is the leader and the administrator is the follower. Multi-objective optimization methodology is used to predict the attacker’s best actions at each decision node. The administrator also keeps tracking the attacker’s actions and updates his knowledge on the attacker’s behavior and objectives after each detected attack, and uses it to update the prediction of the attacker’s future actions. Instead of searching the entire game tree, appropriate time horizons are dynamically determined to reduce the size of the game tree, leading to a new, fast, adaptive learning algorithm. Numerical experiments show that our algorithm has a significant reduction in the damage of the network and it is also more efficient than other existing algorithms.
关键词：Multi-Stage Attack; Dynamic Game; Multi-Objective Optimization; Adaptive Learning