| 属性聚类算法在入侵检测中的应用 |
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| 引用本文： | 赵玲.属性聚类算法在入侵检测中的应用[J].网络安全技术与应用,2004(12):49-51. |
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| 作者姓名： | 赵玲 |
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| 作者单位： | 西安邮电学院信息与控制系,陕西,710061 |
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| 基金项目： | 西安邮电学院中青年科研基金项目资助(110-0406) |
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| 摘 要： | 理论分析表明属性均值聚类是比模糊均值聚类更稳健的聚类方法,因此本文提出了基于属性均值聚类的入侵检测新方法。实验结果表明该方法对入侵检测是非常有效的。
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| 关 键 词： | 属性均值聚类 模糊均值聚类 入侵检测 |
Application of Attribute Clustering Algorithm in Intrusion Detection |
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| Zhao Ling.Application of Attribute Clustering Algorithm in Intrusion Detection[J].Net Security Technologies and Application,2004(12):49-51. |
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| Authors: | Zhao Ling |
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| Affiliation: | Zhao Ling Department of Information and Control,Xi'an Institute ofPostTelecom,Shanxi 710061 |
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| Abstract: | Attribute means clustering is more robustthan fuzzy means clustering by theoretical analysis. So,this paper brings forward a new intrusion detection method based on attribute means clustering.The result of experiment shows this method is very effective in intrusion detection. |
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| Keywords: | attribute means clustering fuzzy means clustering intrusion detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
