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
收藏
页码：2924 / +
页数：2
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