A Research On Key Technologies Of Analysing The Streaming Media Transmission Protocols

In recent years,with the rapid development of Internet technology,as well as computer terminals and intelligent mobile terminal performance continue to improve,online streaming has become an important part of everyday life.The popularity of online streaming has a significant impact on the network environment.The proportion of streaming media content in the network transmission data increased significantly,and the network transmission of streaming media packets mostly show the features of a large amount of data,the connection to maintain a long time and other characteristics.It may increase the network burden,which may result in network transmission congestion and the problem of uneven network load.In a large number of network streaming media data,there may contain some illegal information or spam need to be discovered and dealt with.Some network transmission control mechanisms also need to count the proportion of various streaming media transmission protocols in network traffic.In order to improve the quality of streaming media services,it is necessary to perform traffic detection on network streaming media transmission and analyze media transmission traffic characteristics so that the transmission modes of streaming media can be dynamically deployed and a better service can be provided for users.To solve these problems,effective identification and analysis of stream media transmission protocols are needed.The purpose of this thesis is to solve the problem of the identification and analysis of stream media transmission protocols.Through researches and analyses,the feature information of streaming media transmission protocols is extracted accurately and effectively.Then the target media protocol is identified,which would provide the foundation of data analysis for the statistics,monitoring and management of streaming media.This thesis analyzes the shortcomings of four widely used streaming media transmission protocol identification technologies.The recognition technology based on port matching cannot effectively cope with the change of communication port.The identification technology based on network behavior is difficult to build models,and it has a poor timeliness and low precision.The recognition technology based on load content has a low execution efficiency.The recognition technology based on regular expressions is difficult to select the optimal expression after the combination of multiple conditions.In this thesis,a load characterization extraction method for the application layer message of streaming media transmission protocol is proposed.The method is based on Zipf's law,Jaccard similarity coefficient,mutual information,and other theories.In this thesis,we propose a method of loading feature extraction for streaming media transmission protocol.And so on,it is convenient to extract the load characteristics of the streaming media protocol from the captured network packets.Designed experiments are carried out to verify the above algorithm,and the experimental environment is set up to simulate the application scenario of the streaming media in the network environment.Through the concrete realization of the above algorithm,the load characteristics of the streaming media transmission protocol are extracted accurately,and the extracted features Streaming media transmission protocol was identified,and the load characteristics of the identification of performance indicators were evaluated.Finally,a prototype system for analyzing the identification of streaming media transmission protocol is designed.The system can be easily deployed to the existing network,and the load characteristics of the target streaming media protocol can be effectively extracted.Then,the protocol feature library can be established accurately.On this basis,it is possible to identify the streaming media transmission protocol that exists in the network,and then mark it and display it in real time.