| 改进k均值算法在网络入侵检测中的应用研究 |
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| 引用本文： | 郭红艳,谷保平.改进k均值算法在网络入侵检测中的应用研究[J].计算机安全,2008(5):24-26. |
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| 作者姓名： | 郭红艳 谷保平 |
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| 作者单位： | 1. 河南广播电视大学,河南,郑州,450008
2. 广东工业大学计算机学院,广东,广州,510006 |
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| 摘 要： | k均值聚类算法在入侵检测中已经得到了广泛的研究。该文在k均值算法基础上,提出了改进的k均值算法。将k均值算法和改进的k均值算法分别应用于入侵检测。试验结果表明,改进后的k均值算法能够避免k均值算法固有的缺点,并且有比较高的检测性能。
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| 关 键 词： | k均值 聚类算法 入侵检测 |
| 修稿时间： | 2007年11月17 |
Application of improved k-means clustering algorithm in intrusion detection |
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| GU Bao-ping,GUO Hong-yan.Application of improved k-means clustering algorithm in intrusion detection[J].Network & Computer Security,2008(5):24-26. |
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| Authors: | GU Bao-ping GUO Hong-yan |
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| Abstract: | k-means as clustering algorithm has been widely used in the intrusion detection. This paper is based on the k-means algorithm,we bring forward the improved k-means algorithm. The both algorithms were tested in the intrusion detection. The experiment indicates the improved algorithm can avoid the inherent shortcomings which the k-means algorithm has,and has the quite high detection performance. |
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| Keywords: | k-means clustering algorithm intrusion detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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