Network traffic analysis using immunological and evolutionary paradigms

被引：0

作者：

Ostaszewski, Marek ^{[1
]}

Seredynski, Franciszek ^{[1
,2
,3
]}

Bouvry, Pascal ^{[4
]}

机构：

[1] Univ Podlasie, Inst Comp Sci, Sienkiewicza 51, PL-08110 Siedlce, Poland

[2] Polish Japanese Inst Informat Technol, PL-02008 Warsaw, Poland

[3] Polish Acad Sci, Inst Comp Sci, PL-01237 Warsaw, Poland

[4] Luxembourg Univ, Fac Sci Technol & Commun, L-1359 Luxembourg, Luxembourg

来源：

INTELLIGENT INFORMATION PROCESSING AND WEB MINING, PROCEEDINGS | 2006年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper presents an approach to anomaly detection problem based on self-nonself space paradigm. Hyperrectangular structure as description for self and nonself elements is proposed. Niching genetic algorithm is used for generation of detector set. Results of conducted experiments show a high quality of intrusion detection which outperforms the quality of recently proposed approach based on hypersphere representation of self-space.

引用

页码：359 / +

页数：2

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