| 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. |
| 关键词: 网络安全态势感知 威胁传播网络 Markov 博弈模型 |
| DOI：10.3724/SP.J.1001.2011.03751 |
| 分类号: |
| 基金项目: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) |
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| Network Security Situation Awareness Approach Based on Markov Game Model |
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ZHANG Yong, TAN Xiao-Bin, CUI Xiao-Lin, XI Hong-Sheng
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Department of Automation, University of Science and Technology of China, Hefei 230027, China
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| Abstract: |
| 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. |
| Key words: network security situation awareness threat propagation network Markov game model |
