Abstract: It was reported that mobile terminals account for about 47% global IP traffic while WiFi traffic account for over 90% mobile traffic.Identification of mobile terminal traffic is important for efficient network traffic management.In order to solve the low identification rate problem of traditional HTTP user agent (UA) method,we analyzed the features of mobile terminal traffic in WiFi environment,including the connection persist time,packet size and payload size,etc.We proposed WF-C4.5:a handheld terminal traffic identification method based on C4.5 decision tree in WiFi environment.The method distinguishes handheld terminal traffic from non-handheld traffic by decision tree model which is created by calculating the information gain ratio of each attribute value.The experiments show that the identification rate of WF-C4.5 can reach 95%,while the identification rate of UA is about 65%.

Key words: WiFi WLAN,C4.5 decision tree,Mobile terminal,Traffic identification