| 分类器选择的IDS系统入侵检测方法 |
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| 引用本文： | 陈念,沈佐民,王汝传.分类器选择的IDS系统入侵检测方法[J].计算机工程与设计,2011,32(4):1280-1283. |
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| 作者姓名： | 陈念 沈佐民 王汝传 |
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| 作者单位： | 1. 池州学院,计算机科学技术系,安徽,池州,247000
2. 南京邮电大学,计算机科学系,江苏,南京,210093 |
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| 基金项目： | 安徽省优秀青年人才基金 |
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| 摘 要： | 为了提高IDS入侵样本检测的速度,提出了分类器选择的入侵检测方法.该方法充分考虑到线性分类器在数据分类操作中的速度优势,以线性可分度判定的的结果为基础,灵活选择(非)线性分类器进行数据分类,较之单一的SVM分类方法,虽然增加了额外的线性判别的系统开销,却因此获得分类性能的极大提升.在KDD Cup99数据集上进行实验,...
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| 关 键 词： | 入侵检测 线性判别分析 支持向量机 特征提取 线性分类器 阈值 |
System intrusion detection method based on classifier selection |
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| CHEN Nian,SHEN Zuo-min,WANG Ru-chuan.System intrusion detection method based on classifier selection[J].Computer Engineering and Design,2011,32(4):1280-1283. |
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| Authors: | CHEN Nian SHEN Zuo-min WANG Ru-chuan |
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| Affiliation: | CHEN Nian1,SHEN Zuo-min1,WANG Ru-chuan2(1.Department of Computer Science and Technology,Chizhou College,Chizhou 247000,China,2.Department of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210093,China) |
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| Abstract: | To speed up the detection process of intrusion samples,taking the speed advantage of linear classifier in data classification into account,based on linear discriminant,a method of classifier selection is put forward.Compared with single SVM classifier,the method enhanced classification performance,although the extra overhead is added.The results by experimented on KDD Cup99 sets show the method can greatly improve the speed of sample training and testing,and ensure the accuracy,the false alarm rate and omis... |
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| Keywords: | intrusion detection linear discriminant analysis support vector machine feature extraction linear classifier threshold |
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