Research on probability distribution of mean packet size for fiverepresentative applications in Internet
互联网五种典型应用的平均包长概率分布研究

As a important method of traffic identification, DFI(deep flow inspection)employs statistical features which contains packet size information. This paper started with packet size belonging to five representative applications, utilized sliding window model to explore difference on probability distributution of mean packet size of different applications. The experiments on FTP, Foxmail, WWW, Thunder and Emule show:with the same size of sliding window, they behave different expectation of the mean packet size;with being greater size of sliding window, they behave stable expectation and gradually decreasing variance of the mean packet size. It is feasible to identify the five applications only based on packet size information.