| 基于聚类分析的网络入侵检测模型 |
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| 引用本文： | 李文华.基于聚类分析的网络入侵检测模型[J].计算机工程,2011,37(17):96-98. |
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| 作者姓名： | 李文华 |
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| 作者单位： | 长江大学计算机科学学院,湖北荆州,434023 |
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| 摘 要： | 为提高网络入侵检测系统的入侵识别能力，提出一种基于模糊C均值(FCM)聚类的入侵检测模型。该模型包括数据预处理器、FCM聚类处理器、类中心集更新器和检测系统，可以同时处理数值属性与符号属性。实验结果表明，与其他模型相比，该模型具有较低的误警率和较高的检测率。
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| 关 键 词： | 入侵检测 聚类分析 模糊C均值 欧氏距离 简单匹配系数 |
| 收稿时间： | 2011-03-04 |
Network Intrusion Detection Model Based on Clustering Analysis |
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| LI Wen-hua.Network Intrusion Detection Model Based on Clustering Analysis[J].Computer Engineering,2011,37(17):96-98. |
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| Authors: | LI Wen-hua |
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| Affiliation: | LI Wen-hua(College of Computer Science,Yangtze University,Jingzhou 434023,China) |
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| Abstract: | This paper introduces Fuzzy C-means(FCM) clustering method,researches the methods of intrusion detection based on clustering analysis,and establishes a new model of network intrusion detection.The new model is included data pre-processor,clustering-component based FCM,Updater of clustering-center,and detection system,and improves the availability of intrusion detection system.Experimental result proves that the model can detect intrusion from the network connection data at a lower system false alarm rate an... |
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| Keywords: | intrusion detection clustering analysis Fuzzy C-means(FCM) Euclidean distance Simple Matching Coefficient(SMC) |
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