A recognition model for network intrusion based on artificial immune system

被引：0

作者：

Liu, Z ^{[1
]}

Tan, L ^{[1
]}

Zhou, MT ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Coll Comp Sci & Engn, Chengdu 610054, Peoples R China

来源：

WAVELET ANALYSIS AND ITS APPLICATIONS, AND ACTIVE MEDIA TECHNOLOGY, VOLS 1 AND 2 | 2004年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Among many kinds of IDSs(Intrusion Detection system),how to recognize and identify network intrusions is a base criterion to evaluate an IDS. Traditional IDS implements this by security rules matching. However, new network intrusions emerge in endlessly. Obviously this detecting way can't meet new situation's need and will be out of date in the near future. Aiming at this problem, This paper bring forward a new kind of recognition model of network intrusions which make use of immune antibody's self-organized learning ability and may accomplish the recognition for variation of network intrusions properly.

引用

页码：812 / 820

页数：9

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