| 基于Nave Bayes分类的网络安全审计数据分析研究 |
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| 引用本文： | 王旭仁,何发镁.基于Nave Bayes分类的网络安全审计数据分析研究[J].计算机工程与应用,2007(31). |
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| 作者姓名： | 王旭仁 何发镁 |
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| 作者单位： | 首都师范大学信息工程学院 北京100037(王旭仁)，中国科学院成都计算机应用研究所 成都610041(何发镁) |
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| 摘 要： | 研究了非监督学习Nave Bayes分类的原理和方法,并将其应用到文本数据——网络安全审计数据的分析中。为了提高分类准确率,根据分类的效果对数据的属性集进行选择,使用能提高分类准确性的属性作为分类的依据。对KDDCUP99数据集进行了基于不同属性集的实验,发现了与分类结果相关的属性,分类效果良好。
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| 关 键 词： | 机器学习 贝叶斯分类器 网络安全 |
Research and application of Naive Bayes in network security log analyzing. |
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| WANG Xu-ren,HE Fa-mei. .College of Information Engineering,Capital Normal University,Beijing ,China .Chengdu Institute of Computer Applications,Chinese Academy of Sciences,Chendu ,China.Research and application of Naive Bayes in network security log analyzing.[J].Computer Engineering and Applications,2007(31). |
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| Authors: | WANG Xu-ren HE Fa-mei College of Information Engineering Capital Normal University Beijing China Chengdu Institute of Computer Applications Chinese Academy of Sciences Chendu China |
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| Affiliation: | WANG Xu-ren,HE Fa-mei. 1.College of Information Engineering,Capital Normal University,Beijing 100037,China 2.Chengdu Institute of Computer Applications,Chinese Academy of Sciences,Chendu 610041,China |
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| Abstract: | This paper discusses Naive Bayes classification theory and methods,which can be applied to textual data analyzing.In this paper we analyze network security audit data with Naive Bayesian classifier.In order to improve the efficiency of classification,attributes that lead to better classification result are selected,and the other are aborted.Tests on various attributes of KDD CUP99 data sets show that classification results are rather good. |
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| Keywords: | machine learning Bayesian classifier network security |
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