| 基于BP神经网络和Bagging算法的入侵检测 |
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| 引用本文： | 朱守业. 基于BP神经网络和Bagging算法的入侵检测[J]. 计算机工程与应用, 2009, 45(18): 123-125. DOI: 10.3778/j.issn.1002-8331.2009.18.037 |
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| 作者姓名： | 朱守业 |
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| 作者单位： | 徐州师范大学,信息传播学院,江苏,徐州,221009 |
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| 摘 要： | 提出基于Bagging算法集成BP神经网络的入侵检测方法。采用BP神经网络为分类器，以用户的网络连接行为为特征进行检测，为进一步提高BP神经网络的分类性能，采用Bagging算法对BP神经网络分类器进行加权投票。实验表明，提出的方法具有良好的检测性能。
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| 关 键 词： | 入侵检测 前溃神经网络 Bagging算法 |
| 收稿时间： | 2008-04-14 |
| 修稿时间： | 2008-7-7 |
Intrusion detection based on BP neural network and Bagging method |
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| ZHU Shou-ye. Intrusion detection based on BP neural network and Bagging method[J]. Computer Engineering and Applications, 2009, 45(18): 123-125. DOI: 10.3778/j.issn.1002-8331.2009.18.037 |
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| Authors: | ZHU Shou-ye |
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| Affiliation: | School of Information and Media，Xuzhou Normal University，Xuzhou，Jiangsu 221009，China |
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| Abstract: | An intrusion detection based on BP neural network and Bagging method is proposed.BP neural network is used as the classifier and the link action of network is used as the feature.In order to improve the performance of BP neural network classifier，Bagging method is used to integrate BP neural network.Then the evaluation method and results are given.The evaluation results show that the performance of the proposed method is effective. |
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| Keywords: | intrusion detection BP neural network Bagging method |
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