节点文献
基于抗体浓度的网络安全态势感知模型
Network Security Situation Awareness Model Based on Antibody Concentration
【摘要】 提出了一个基于抗体浓度的网络安全态势实时定量感知模型.给出了模型中抗原、抗体、抗体浓度等概念的定义及其形式化表示,论述了模型的体系架构和工作原理,并与相关技术进行了综合对比.理论分析和实验结果表明该模型是有效的,且具有实时性好、自适应能力强等优点,为实时、定量感知计算机网络与信息系统的安全风险提供了一种新思路.
【Abstract】 An antibody concentration based model for network security situation awareness is proposed.With the concepts and formal definitions of antigen,antibody and antibody concentration presented,the architecture and principle of the model are described.Synthesis comparison and experimental results show that the proposed model is valid,and it has the features of being real-time and self-adaptive.Thus,it provides a good solution to the security risk awareness for computer network and information systems.
【基金】 国家自然科学基金资助项目,编号60873246;河南省自然科学基金资助项目,编号082300410260
- 【文献出处】 郑州大学学报(理学版) ,Journal of Zhengzhou University(Natural Science Edition) , 编辑部邮箱 ,2010年01期
- 【分类号】TP393.08
- 【被引频次】1
- 【下载频次】178