Study of a multi-shape-gene artificial immune model for network intrusion detection

被引：0

作者：

Lu, J ^{[1
]}

Feng, BQ ^{[1
]}

Li, B ^{[1
]}

Rao, Y ^{[1
]}

机构：

[1] Xian Jiaotong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China

来源：

2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年

关键词：

artificial immune system; computer security; network intrusion detection; negative selection algorithm;

D O I：

10.1109/ICMLC.2003.1259827

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel model of artificial immune system for network intrusion detection. It starts by introducing rationale and techniques of natural immune system and IS-based intrusion detection system. A multi-shape-gene model is presented with its physical and logic architecture, as well as technology of the generation and evolution of genes libraries. Finally the negative selection algorithm is introduced.

引用

页码：1982 / 1985

页数：4

共 7 条

[1]

[Anonymous], 1994, P 1994 IEEE S RES SE

[2]

[Anonymous], 1995, IMMUNOLOGY INTRO

[3] Computer immunology [J].

Forrest, S ;

Hofmeyr, SA ;

Somayaji, A .

COMMUNICATIONS OF THE ACM, 1997, 40 (10) :88-96

[4] Using Genetic Algorithms to Explore Pattern Recognition in the Immune System [J].

Forrest, Stephanie ;

Javornik, Brenda ;

Smith, Robert E. ;

Perelson, Alan S. .

EVOLUTIONARY COMPUTATION, 1993, 1 (03) :191-211

[5]

HOFMEYR SA, 1999, THESIS U NEW MEXICO

[6]

Kim J., 1999, 7 EUR C INT TECHN SO

[7]

Mykerjee B., 1994, IEEE NETWORK, V8, P26

← 1 →