摘要
为了分析威胁传播对网络系统的影响,准确、全面地评估系统的安全性,并给出相应的加固方案,提出一种基于Markov博弈分析的网络安全态势感知方法.通过对多传感器检测到的安全数据进行融合,得到资产、威胁和脆弱性的规范化数据;对每个威胁,分析其传播规律,建立相应的威胁传播网络;通过对威胁、管理员和普通用户的行为进行博弈分析,建立三方参与的Markov博弈模型,并对相关算法进行优化分析,使得评估过程能够实时运行.Markov博弈模型能够动态评估系统安全态势,并为管理员提供最佳的加固方案.通过对具体网络的测评分析表明,基于Markov博弈分析的方法符合实际应用,评估结果准确、有效,提供的加固方案可有效抑制威胁的扩散.
To analyze the influence of propagation on a network system and accurately evaluate system security, this paper proposes an approach to improve the awareness of network security, based on the Markov Game Model （MGM）. This approach gains a standard data of assets, threats, and vulnerabilities via fusing a variety of system security data collected by multi-sensors. For every threat, it analyzes the rule of propagation and builds a threat propagation network （TPN）. By using the Game Theory to analyze the behaviors of threats, administrators, and ordinary users, it establishes a three player MGM. In order to make the evaluation process a real-time operation, it optimizes the related algorithm. The MGM can dynamically evaluate system security situation and provide the best reinforcement schema for the administrator. The evaluation of a specific network indicates that the approach is suitable for a real network environment, and the evaluation result is precise and efficient. The reinforcement schema can effectively curb the propagation of threats.
出处
《软件学报》
EI
CSCD
北大核心
2011年第3期495-508,共14页
Journal of Software
基金
国家高技术研究发展计划(863)(2006AA01Z449)
中国博士后科学基金资助项目(20070420738)
