摘要
依据人体免疫系统中抗体浓度的变化与人体生病的严重程度的对应关系,本文提出了一种基于人工免疫的网络安全实时风险检测的方法,给出了自体、非自体、抗体和抗原实现方式,建立了抗体的克隆选择、学习机制以及生命周期模型,提出了基于抗体浓度的网络安全风险的定量计算模型.实验表明该方法具有定量计算、实时性等优点,是网络安全实时风险检测的一个较好的解决方案.
<Abstrcat>With the relationship between the antibody concentration and the degree of illness in the human immune system,a real-time method of risk evaluation for network security based on artificial immune system is proposed.Self,nonself,antibody and antigen are defined.Thus clone selection,learning scheme and lifecycle of antibody are built.A quantitative computation model based on the concentration of the antibodies for computer network security has thus been presented.The experiment shows that this method has the features of quantitative calculation and real-time process ability,and is a good solution for real-time risk evaluation for network security.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2005年第5期945-949,共5页
Acta Electronica Sinica
基金
国家自然科学基金(No.60373110)
教育部博士点基金项目(No.20030610003)
关键词
人工免疫
网络入侵检测
风险评估
artificial immune
network intrusion detection
risk evaluation
