| BP神经网络的入侵系统分析 |
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| 引用本文： | 潘昊,饶友民.BP神经网络的入侵系统分析[J].武汉理工大学学报(信息与管理工程版),2005,27(2):142-145. |
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| 作者姓名： | 潘昊 饶友民 |
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| 作者单位： | 武汉理工大学,计算机科学与技术学院,湖北,武汉,430070 |
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| 摘 要： | 利用改进算法的学习能力和快速识别能力,实现了对用户行为的检测,尤其是在识别以前没有观察到的未知攻击方面具有较好的性能。
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| 关 键 词： | 入侵检测 神经网络 特征提取 拆分与组装 |
| 文章编号： | 1007-144X(2005)02-0142-04 |
| 修稿时间： | 2004年12月28 |
Analysis of an Intrusion Detection Approach Based on BP Neural Networks |
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| Pan Hao,Rao Youmin.Analysis of an Intrusion Detection Approach Based on BP Neural Networks[J].Journal of Wuhan University of Technology(Information & Management Engineering),2005,27(2):142-145. |
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| Authors: | Pan Hao Rao Youmin |
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| Affiliation: | Pan Hao,Rao YouminPan Hao:Assoc. Prof., School of Computer Science and Technology,WUT,Wuhan 430070,China. |
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| Abstract: | A new neural network-based intrusion detection approach is proposed.This approach employs the improved algorithm that provides the capability of learning and quick classification, and can be used for detection of user behavior. In particular, this approach gains good performance in recognizing future unseen attacks. |
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| Keywords: | intrusion detection neural network feature extraction split and assembling |
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