Research and Realization of Indentifi cation Technology of Mobile Internet Audio-Video Protocol

The Audio-Video(AV) type apps is a hot topic in app markets. Comparing with the traditional Internet protocol identifi cation which is thoroughly studied, studying AV protocol identifi cation in mobile network is preliminary. Carriers can provide differential services and security profiling by recognizing different apps from collected users' online watching behaviors. In this paper, we study the protocol identifi cation technology for AV apps in mobile network. We get application signatures through protocol payloads. The obtained signatures are used to classify protocols. By setting up a large number of experiments and developing identifi cation programs, I proposed a new method that can automatically identify AV protocols in mobile network. In addition, the accuracy and effi ciency are further improved.