| 模糊聚类分析在入侵检测系统中的应用研究 |
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| 引用本文： | 郭亚周,高德远,高翔. 模糊聚类分析在入侵检测系统中的应用研究[J]. 沈阳理工大学学报, 2005, 24(4): 26-28 |
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| 作者姓名： | 郭亚周 高德远 高翔 |
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| 作者单位： | 西北工业大学,计算机学院,陕西,西安,710072 |
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| 摘 要： | 随着计算机网络技术的迅速发展和应用,入侵检测技术已成为网络安全领域内的研究热点.文中提出了一种基于模糊聚类分析的异常检测方法,并通过实验对这种方法进行了性能评估.实验采用了KDD99 的测试数据,结果表明,该方法能够比较有效地检测真实网络数据中的未知入侵行为.
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| 关 键 词： | 入侵检测系统(IDS) 异常检测 模糊聚类 |
| 文章编号： | 1003-1251(2005)04-0026-03 |
| 修稿时间： | 2005-06-22 |
The Application of Fuzzy Cluster Analysis in Intrusion Detection System |
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| GUO Ya-zhou,GAO De-yuan,GAO Xiang. The Application of Fuzzy Cluster Analysis in Intrusion Detection System[J]. Transactions of Shenyang Ligong University, 2005, 24(4): 26-28 |
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| Authors: | GUO Ya-zhou GAO De-yuan GAO Xiang |
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| Abstract: | With the rapid development and application of the computer network technique,the intrusion detection technique has become a hotspot of the research in the network security.This paper presents a method for the anomaly detection based on fuzzy clustering,and the method is evaluated by performing experiments over network records from the KDD CUP99 data set.From the experiments,it was found that this method can detect the previously unknown attacks in the real network data effectively. |
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| Keywords: | intrusion detection system(IDS) anomaly detection fuzzy clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
