Incremental intrusion detecting method based on SOM/RBF - 文章详情页

作者：

Tian, Li-Ye (Tian, Li-Ye.) | Liu, Wei-Peng (Liu, Wei-Peng.)

收录：

EI Scopus

摘要：

An　incremental　intrusion　detecting　model　is　proposed　in　this　paper.　This　model　integrates　unsupervised　Self　Organizing　Map　and　supervised　Radial　Basis　Function　to　complete　incremental　learning.　Self　Organizing　Map　can　get　new　type　intrusion　information　and　generate　new　nodes　in　Radial　Basis　Function.　By　this　model,　intrusion　of　unknown　type　can　be　detected　online.　Experiment　results　show　our　model　could　detect　new　type　intrusions　without　forgetting　the　old　ones.　©　2010　IEEE.

关键词：

Conformal mapping Functions Intrusion detection Neural networks Radial basis function networks Self organizing maps Supervised learning

作者机构：

[ 1 ] [Tian, Li-Ye]Dept. of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China
[ 2 ] [Tian, Li-Ye]Trusted Computing Lab., College of Computer, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Liu, Wei-Peng]State Key Laboratory of Information Security, GUCAS, Beijing 100039, China
[ 4 ] [Liu, Wei-Peng]Trusted Computing Lab., College of Computer, Beijing University of Technology, Beijing 100022, China

通讯作者信息：

电子邮件地址：

new.tianli@163.com

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