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基于扩展K均值算法的入侵检测模型

An Intrusion Detection Model Based on Extended K-Means Algorithm
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摘要 该文提出了一个基于扩展K均值算法的入侵检测模型。首先介绍了入侵检测研究的发展概况以及K均值算法及其扩展版本。接着描述了基于扩展K均值算法的入侵检测模型。最后,通过实验仿真利用KDD Cup1999数据集对模型的效能进行了验证。 This paper presents an intrusion detection model based on extended K-Means algorithm.First,the research progress of intrusion detection is mentioned,K-Means algorithm and its extended version is introduced.Then the model of an Intrusion Detection System based on extended K-Means is presented.Finally,a simulation experiment using the KDD Cup 1999 Dataset is given to illustrate the efficiency of this model.
作者 秦川
出处 《电脑知识与技术(过刊)》 2013年第5X期3267-3269,3279,共4页 Computer Knowledge and Technology
关键词 入侵检测 网络安全 扩展K均值算法 数据挖掘 Intrusion detection network security extended K-Means data mining
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参考文献4

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  • 2Lee W,Stolfo S J,Mok K.A Data Mining Framework for Building Intrusion Detection Models[].Proceedings of the IEEE Symposium on Security and Privacy.1999
  • 3Forrest S,Perelson AS,Allen L,et al.Self-Nonself Discrimination in a Computer. Proceedings of the 1994 IEEE Symposium on Research in Security and Privacy . 1994
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