A new model for dynamic intrusion detection

被引：0
|
作者：
Li, T [1 ]
Liu, XJ
Li, HB
机构：
[1] Sichuan Univ, Dept Comp Sci, Chengdu 610065, Peoples R China
[2] Stevens Inst Technol, Dept Elect & Comp Engn, Hoboken, NJ 07030 USA
来源：
CRYPTOLOGY AND NETWORK SECURITY, PROCEEDINGS | 2005年 / 3810卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Building on the concepts and the formal definitions of self, nonself, antigen, and detector introduced in the research of network intrusion detection, the dynamic evolution models and the corresponding recursive equations of self, antigen, immune-tolerance, lifecycle of mature detectors, and immune memory are presented. Following that, an immune-based model, referred to as AIBM, for dynamic intrusion detection is developed. Simulation results show that the proposed model has several desirable features including self-learning, self-adaption and diversity, thus providing a effective solution for network intrusion detection.
引用
收藏
页码：72 / 84
页数：13
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