Network Application Identification Based on Wavelet Transform and K-means Algorithm

摘要：

The identification of network application based on port number is constrained by the status that more and more peer-to-peer applications make use of dynamic port numbers. Some clustering methods are used to cope with this problem, but they are timeconsuming. In this paper, a method based on wavelet transforming and K-means is proposed. Its basic idea is doing data preprocessing with wavelet transformation prior to K-means algorithm. As the experiment results show, the time for data processing is shortened; moreover, the storage of data has been reduced; and finally, the classification precision of this method remain unaffected.

关键词： K-means wavelet transformation identification of network application

作者: Ru Li Ou-jie Xi Bin Pang Jiao Shen Chun-Lei Ren

作者单位: College of Computer Science Inner Mongolia University Hohhot,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 38-41

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）