Application Protocols Identification Using Non-parametric Estimation Method

摘要：

Application protocols identification (APPI) is of fundamental importance to many network tasks. Traditional payload-based methods are difficult to identify new encrypted protocols. Many machine learning methods cannot achieve high performance. In this paper, we address an identification method based on Bayesian theory and Non-parametric Estimation which has good performance in the field of pattern recognition. The new method firstly abstracts the statistical features from the payloads of the flows. Then application protocols are identified with Nonparametric Estimation method. Experimental results show that the new method achieves over 80％ in F-score for protocols identification.

关键词： traffic identification non-parametric estimation feature template

作者: Guang-Lu Sun Fei Lang Mingming Yang Jing Hua

作者单位: School of Computer Science and Technology,Harbin University of Science and Technology,Harbin,China,1 School of Foreign Languages,Harbin Science and Technology,Harbin,China,150080 School of Computer Science and Technology,Harbin University of Science and Technology,Harbin,China,1 China Electric Power Research Institute,Beijing,China,100192

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 765-768

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）