期刊论文

Network Intrusion Detection Based on Wavelet Kernel Support Vector Machine

中文

计算机工程与应用

1002-8331

2006

42

17

143-145

10.3321/j.issn:1002-8331.2006.17.044

国家自然科学基金资助项目（编号：10471036） 湖南省教育厅青年科研基金资助项目（编号：058055）

本校为第一机构

将小渡理论和统计学习运用到网络入侵检测中，使用小波核支持向量机（WSVM）对网络连接信息进行攻击检测和异常发现。仿真试验结果表明，与RBF核相比，小波核支持向量机在泛化能力和检测能力方面都有所提高。

Wavelet theory and statistical learning are combined to apply in network intrusion detection field.Through the analysis of current intrusion detection /nethods and characteristic of wavelet support vector machine （WSVM）,this paper tries to apply WSVM as classifying means to deal with network connecting data.The results indicate that the classifying performance of wavelet kernel support vector machine shows better than RB...