Hacker Intrusion Detection System based on Artificial Neural Network

被引：0

作者：

Huang, Jing ^{[1
]}

Chen, Hai Bin ^{[1
]}

Zhang, Jiang ^{[1
]}

Zhang, Han Bo ^{[2
]}

机构：

[1] Zhejiang Sci Tech Univ, Zhejiang Sci & Technol Univ, Informat Sch, Hangzhou, Zhejiang, Peoples R China

[2] Shenyang Aerospace Univ, Northern inst sci & technol, Shenyang, Peoples R China

来源：

INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4 | 2013年 / 263-266卷

关键词：

component; artificial neural network; intrusion detection; processing ability; network intrusion detection data set; normalizes;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, some scholars' idea of applying neural network technology in the design of hacker intrusion detection system model and making a hacker intrusion detection system model based on artificial neural network is adopted. This study selects KDDCup'99 for network intrusion detection data set to learn the characteristics of the intrusion accurately; completes the normalization of all characteristics to achieve rapid convergence of the artificial neural network; analyses the advantages and disadvantages of different neural network training functions; achieves a high accuracy rate for intrusion detection successfully.

引用

页码：2924 / +

页数：2

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