Intrusion detection based on hierarchical neural network

doi:10.3778/j.issn.1002-8331.2009.20.032

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (20): 106-107.DOI: 10.3778/j.issn.1002-8331.2009.20.032

• 网络、通信、安全 • Previous Articles Next Articles

Intrusion detection based on hierarchical neural network

BI Jing¹，ZHANG Kun²

1.Science School，Beijing University of Civil Engineering and Architecture，Beijing 100044，China
2.School of Information Engineering，Hebei University of Technology，Tianjin 300130，China

Received:2009-03-05 Revised:2009-04-16 Online:2009-07-11 Published:2009-07-11
Contact: BI Jing

分层神经网络在入侵检测系统中的应用

毕靖¹，张琨²

1.北京建筑工程学院理学院，北京 100044
2.河北工业大学信息工程学院，天津 300130

通讯作者: 毕靖

Abstract

Abstract:
Abstract： Intrusion detection is one of important ways to improve network security，and is a main research topic in computer field.The benchmark dataset commonly used in the research of intrusion detection is adopted.Firstly，data are changed into the appropriate type for simulations；Secondly RBF network is used for raw detection；Thirdly Elman BP network is used for advanced detection；Lastly a lot of simulation results are gained from MATLAB platform，and display that hierarchical network is fit for intrusion detection.

Key words: hierarchical network, intrusion detection, network security

摘要： 入侵检测技术是提高网络安全的重要手段之一，旨在利用分层神经网络解决入侵检测问题。针对入侵检测研究的通用审计数据集，首先将数据进行预处理以便运算；其次利用RBF网络实现粗检测；再次利用Elman BP网络进行细检测，从而实现分层神经网络的入侵检测；最后在MATLAB平台下进行仿真实验，仿真结果表明，分层神经网络结构在入侵检测中体现出良好的特性。

关键词: 分层神经网络, 入侵检测, 网络安全

BI Jing¹，ZHANG Kun². Intrusion detection based on hierarchical neural network[J]. Computer Engineering and Applications, 2009, 45(20): 106-107.

毕靖¹，张琨². 分层神经网络在入侵检测系统中的应用[J]. 计算机工程与应用, 2009, 45(20): 106-107.

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Intrusion detection based on hierarchical neural network

分层神经网络在入侵检测系统中的应用

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