| 一种基于智能神经网络的入侵检测新方法 |
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| 引用本文： | 毕靖,成晓静. 一种基于智能神经网络的入侵检测新方法[J]. 北京建筑工程学院学报, 2007, 23(2): 52-55 |
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| 作者姓名： | 毕靖 成晓静 |
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| 作者单位： | 北京建筑工程学院,电气与信息工程学院,北京,100044;北京建筑工程学院,电气与信息工程学院,北京,100044 |
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| 摘 要： | 提出了一个基于智能神经网络的网络入侵检测新方法. 该方法首先建立功能单一、结构简单、易于构造的小型神经网络来完成单一的网络入侵检测任务,然后将多个训练好的、能够检测多种多样网络攻击的小型神经网络组合成一个大型智能神经网络. 实验采用DARPA 1998入侵检测评估数据库,使用MATLAB软件完成相关仿真实验. 实验结果真实有效.
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| 关 键 词： | 入侵检测 智能神经网络 特征提取 |
| 文章编号： | 1004-6011（2007）02-0052-04 |
| 收稿时间： | 2007-03-14 |
| 修稿时间： | 2007-03-14 |
New Method of Intrusion Detection Based on Intelligent Neural Networks |
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| Bi Jing,Cheng Xiaojing. New Method of Intrusion Detection Based on Intelligent Neural Networks[J]. Journal of Beijing Institute of Civil Engineering and Architecture, 2007, 23(2): 52-55 |
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| Authors: | Bi Jing Cheng Xiaojing |
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| Affiliation: | School of Electricity and Information Engineering, BUCEA Beijing 100044 |
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| Abstract: | A novel approach for intrusion detection based on intelligent neural networks is proposed.Some small neural networks,which are relatively easy to construct,are first used to detect one kind of intrusion.Then these well trained,small neural networks are integrated into a large intelligent neural network.And Matlab simulation results with 1998 Defense Advanced Research Projects Agency(DARPA) IDS evaluation data confirm that this method is effective. |
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| Keywords: | intrusion detection intelligent neural networks feature selection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
