| 一种基于独立分量分析和Naive Bayesian网络的入侵检测方法 |
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| 引用本文： | 洪功义,姜昱明,张磊. 一种基于独立分量分析和Naive Bayesian网络的入侵检测方法[J]. 微电子学与计算机, 2004, 21(5): 11-13 |
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| 作者姓名： | 洪功义 姜昱明 张磊 |
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| 作者单位： | 西安电子科技大学计算机学院,陕西,西安,710071 |
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| 基金项目： | 陕西省自然科学基金资助项目(00X002) |
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| 摘 要： | 文章将独立分量分析(ICA)模型引入入侵检测系统，提出了基于独立分量分析和Naive Bayesian网络的入侵检测分类的新方法。通过把样本投影到有独立分量分析所确定的特征空间，来提高贝叶斯网络的分类性能，从而提高了入侵检测系统的性能。实验结果表明，这种基于独立分量分析模型的分类器具有良好的分类性能。
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| 关 键 词： | 独立分量分析 Naive Bayesian网络 入侵检测系统 |
| 文章编号： | 1000-7180(2004)05-011-03 |
| 修稿时间： | 2003-09-05 |
An New Intrusion Detection Method Based on ICA Model and Naive Bayesian Network |
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| HONG Gong,yi,JIANG Yu,ming,ZHANG Lei. An New Intrusion Detection Method Based on ICA Model and Naive Bayesian Network[J]. Microelectronics & Computer, 2004, 21(5): 11-13 |
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| Authors: | HONG Gong yi JIANG Yu ming ZHANG Lei |
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| Abstract: | This paper applied the method of independent component analysis to intrusion detection system. An new intrusion detection method based on independent component analysis and Naive Bayesian Network is proposed. It can improve the cluster capacity by projecting the sample to the character space defined by independent component analysis. The experiment shows that the classifier based on independent component analysis model has good capacity. |
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| Keywords: | Independent component analysis Naive bayesian network Intrusion detection system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
