| 采用数据挖掘的入侵检测技术研究 |
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| 引用本文： | 陈娟,周家纪.采用数据挖掘的入侵检测技术研究[J].铁路计算机应用,2007,16(9):10-12. |
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| 作者姓名： | 陈娟 周家纪 |
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| 作者单位： | 成都理工大学,信息工程学院,成都,610059 |
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| 摘 要： | 基于数据挖掘的入侵检测系统由于其采用数据挖掘技术,成为下一代网络安全防护研究的热点.在数据挖掘技术中,聚类分析是一种重要技术,作者将信息熵理论应用到入侵检测聚类问题中,并通过以部分精度换取聚类高效实现的方式,结合统计的手段实现网络数据包信息的高效聚类.
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| 关 键 词： | 入侵检测 数据挖掘 聚类分析 网络技术 |
| 文章编号： | 1005-8451（2007）09-0010-03 |
| 收稿时间： | 2007-09-15 |
| 修稿时间： | 2007-01-19 |
Study on intrusion detection based on data mining |
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| CHEN Juan,ZHOU Jia-ji.Study on intrusion detection based on data mining[J].Railway Computer Application,2007,16(9):10-12. |
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| Authors: | CHEN Juan ZHOU Jia-ji |
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| Institution: | College of Information Engineering, Chengdu University of Technology, Chengdu 610059, China |
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| Abstract: | IDS by data mining was becoming a hot topic for network security defense of next generation because of the data mining technology. Ciuster analysis was an important means in data mining. It was applied theory of information entropy to the clustering problem for intrusion detection, combined the statistical methods to accomplish a high efficiency purpose. |
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| Keywords: | intrusion detection data mining cluster analysis network technology |
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