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
收藏
页码：359 / +
页数：2
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