Research on Intrusion Detection Method Based On Neural Network

被引：0
|
作者：
Xu Chi [1 ]
Chen Jin
机构：
[1] Hunan City Univ, Network Ctr, Yiyang, Peoples R China
来源：
MEMS, NANO AND SMART SYSTEMS, PTS 1-6 | 2012年 / 403-408卷
关键词：
Intrusion detection; Neural networks; Access control;
D O I：
10.4028/www.scientific.net/AMR.403-408.1479
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 describes in Using Self-Organizing Map (SOM) neural networks and its auto-clustering ability to study intrusion detection. The feature pattern of each SOM unit is constructed using PCA feature extraction method and a simplified PCASOM model is proposed. An online learning algorithm is also given and its properties are analyzed. And then the simulation result was given.
引用
收藏
页码：1479 / +
页数：2
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