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| 网络入侵检测系统中互相独立特征的求取方法 | |
| 引用本文： | 时光,郝莹,卢秀林,刘全福,徐龙伟,雷玉国.网络入侵检测系统中互相独立特征的求取方法[J].计算机工程与应用,2009,45(2):125-127. |
| 作者姓名： | 时光 郝莹 卢秀林 刘全福 徐龙伟 雷玉国 |
| 作者单位： | 1. 中国科学院,研究生院,北京,100083;华北科技学院,计算机系,北京,101601 2. 北京建筑工程学院,北京,100044 3. 上海能源股份有限公司,孔庄煤矿,江苏,徐州,221000 |
| 摘 要： | 为了提高网络入侵检测系统(IDS)的实时性、可用性以及整体性能,提出了一种自动识别特征相关性的方法(特征分类法)。用该方法提取出的互相独立(或相关性很小)的特征作为反向传播神经元网络的输入,以此为基础建立了一个IDS。实验证明该方法以及所建立的IDS效果较好。结论表明通过分类可以求得一组特征互相之间的相关程度,进一步可求得互相独立(或相关性很小)的特征。 |
| 关 键 词： | 入侵检测系统 特征相关性 反向传播神经元网络 |
| 收稿时间： | 2008-2-18 |
| 修稿时间： | 2008-4-28 |
Solution to getting inter-independent characters used to network intrusion de-tection system |
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| SHI Guang,HAO Ying,LU Xiu-lin,LIU Quan-fu,xu Long-wei,LEI Yu-guo.Solution to getting inter-independent characters used to network intrusion de-tection system[J].Computer Engineering and Applications,2009,45(2):125-127. | |
| Authors: | SHI Guang HAO Ying LU Xiu-lin LIU Quan-fu xu Long-wei LEI Yu-guo |
| Affiliation: | SHI Guang1,3,HAO Ying2,LU Xiu-lin4,LIU Quan-fu4,XU Long-wei4,LEI Yu-guo41.Graduate University of Chinese Academy of Sciences,Beijing 100083,China 2.Beijing University of Civil Engineering , Architecture,Beijing 100044,China 3.Department of Computer,North China Institute of Science , Technology,Beijing 101601,China 4.Kongzhuang Mine,Shanghai Energy Co.,Ltd,Xuzhou,Jiangsu 221000,China |
| Abstract: | To improve the reality,useful and whole performance of network Intrusion Detection System(IDS),the solution to get independent characters used to(or evidence) IDS is presented in the paper.The approach of auto-recognition of inter-relativity of the characters is developed,which is classification method for characters.The characters picked up by the method are used as the input of back propagate neural network.The characters are inter-independent,or weak relative.On the base of the chosen charac-ters,an IDS ... |
| Keywords: | Intrusion Detection System（IDS） inter-relativity of character back propagate neural network |
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