| 基于动态分类器选择的网络入侵检测方法 |
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| 引用本文： | 米爱中,钟诚,李智.基于动态分类器选择的网络入侵检测方法[J].计算机工程与应用,2005,41(27):123-125. |
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| 作者姓名： | 米爱中 钟诚 李智 |
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| 作者单位： | 1. 广西大学计算机与电子信息学院,南宁,530004
2. 广西大学计算机与电子信息学院,南宁,530004;广西科技厅信息网络中心,南宁,530012 |
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| 基金项目： | 广西自然科学基金（编号：桂科自0339008） |
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| 摘 要： | 提出了一种基于动态分类器选择的网络入侵检测方法,该方法通过增加训练过程以及对分类器性能的静态估算来减少分类时需要的计算资源,提高分类速度,以满足网络入侵检测对实时性的要求。实验表明,该方法的性能优于基于静态分类器选择的网络入侵检测方法。
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| 关 键 词： | 动态分类器选择 网络入侵检测 静态分类器选择 模式识别 |
| 文章编号： | 1002-8331-（2005）27-0123-03 |
| 收稿时间： | 2005-03 |
| 修稿时间： | 2005-03 |
The Network Intrusion Detection Approach Based on Dynamic Classifier Selection |
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| Mi Aizhong,Zhong Cheng,Li Zhi.The Network Intrusion Detection Approach Based on Dynamic Classifier Selection[J].Computer Engineering and Applications,2005,41(27):123-125. |
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| Authors: | Mi Aizhong Zhong Cheng Li Zhi |
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| Affiliation: | 1. School of Computer and Electronics and Information,Guangxi University,Nanning 530004; 2. Center of Information Network,Department of Science and Technology of Guangxi Nanning 530012 |
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| Abstract: | This paper presents a network intrusion detection approach based on dynamic clssifier selection.Tne approach reduces the requirement of computational resources and increases classification speed by adding the training procedure and evaluating the performance of classifier statically in order to attain the real-time level of network intrusion detection.The experiment results show that the approach is superior to the one based on static classifier selection. |
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| Keywords: | dynamic classifier selection network intrusion detection static classifier selection pattern recognition |
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