| 一种改进的模糊C均值算法在入侵检测中的应用 |
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| 引用本文： | 李鹏飞.一种改进的模糊C均值算法在入侵检测中的应用[J].计算机应用与软件,2012(2):289-290,300. |
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| 作者姓名： | 李鹏飞 |
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| 作者单位： | 西南交通大学 |
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| 摘 要： | 为解决模糊C均值(FCM)聚类算法在入侵检测中存在的检测效率低的问题,提出一种改进方法,将改进的模糊C均值聚类算法应用于入侵检测。测试表明,该算法有效提高了聚类检测的检测率,降低了误检测率,具有可行性和有效性。
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| 关 键 词： | 入侵检测 模糊C均值 模糊聚类 |
APPLICATION OF AN IMPROVED FUZZY C-MEANS ALGORITHM IN INTRUSION DETECTION |
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| Li Pengfei.APPLICATION OF AN IMPROVED FUZZY C-MEANS ALGORITHM IN INTRUSION DETECTION[J].Computer Applications and Software,2012(2):289-290,300. |
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| Authors: | Li Pengfei |
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| Affiliation: | Li Pengfei(Southwest Jiaotong University,Chengdu 610031,Sichuan,China) |
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| Abstract: | To solve the problem of low detection efficiency the fuzzy c-means(FCM) clustering algorithm has in intrusion detection,we bring up an improved method,which applies the improved fuzzy c-means clustering algorithm to intrusion detection.After testing,the algorithm is shown to have effectively improved the detection rate of cluster detection,and reduced the false detection rate,and is proved to be feasible and effective as well. |
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| Keywords: | Intrusion detection Fuzzy c-means Fuzzy clustering |
| 本文献已被 CNKI 等数据库收录！ |
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