Novel immune system model and its application to network intrusion detection

被引：0

作者：

Ling, Jun ^{[1
]}

Cao, Yang ^{[1
,2
]}

Yin, Jian-Hua ^{[1
]}

Huang, Tian-Xi ^{[1
]}

机构：

[1] Sch. of Electron. Info., Wuhan Univ.

[2] Lab. of Software Eng., Wuhan Univ.

来源：

Wuhan University Journal of Natural Sciences | 2003年 / 8卷 / 2 A期

关键词：

Automated self profile extraction algorithm; Immune System; Network Intrusion Detection System; Self profile;

D O I：

10.1007/bf02907218

中图分类号：

学科分类号：

摘要：

Based on analyzing the techniques and architecture of existing network Intrusion Detection System (IDS), and probing into the fundament of Immune System (IS), a novel immune model is presented and applied to network IDS, which is helpful to design an effective IDS. Besides, this paper suggests a scheme to represent the self profile of network. And an automated self profile extraction algorithm is provided to extract self profile from packets. The experimental results prove validity of the scheme and algorithm, which is the foundation of the immune model.

引用

页码：393 / 398

页数：5

共 6 条

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