摘要
提出了一种针对大规模网络活动进行风险检测的方法。对网络安全环境下的自体非自体给出了定义,根据克隆选择,自体耐受等基本免疫原理,通过计算抗体浓度来检测网络活动中是否存在异常问题。实验表明,该方法具有实时性和定量计算性,是网络安全风险检测的一种有效解决方案。
The paper presents a method of risk evaluation for a large scope of network activity. The definition of self and nonself in networksecurity are introduced. Based on the fundamental theory of immune system such as clone select and self tolerance, the abnormal activity in thenetwork can be detected by computing antibody concentration. Experiment proves that the method has ability of real-time and quantitativecomputation and it is an effective solution for risk detection of network security.
出处
《计算机工程》
CAS
CSCD
北大核心
2005年第12期163-165,共3页
Computer Engineering
基金
国家自然科学基金资助项目(60373110)
教育部博士点基金资助项目(20030610003)
关键词
网络安全
抗体
亲和力
风险检测
Network security
Antibody
Affinity
Risk detection
