Classifying traffic in a residential area is always a challenging task in the high-speed network. The analysis and quality of service require more specific network control, which generates network traffic. The existing network has many disadvantages because of that the network was unable to detect the traffic in a network. This survey is based on the machine learning algorithm which will work accordingly to the generated traffic information that will be get from the client for that the boosted classifier contain high accuracy has been generated. So, this network will be used for the classification of the applications like- FTP, Skype, TCP etc. , This type of paper demonstrates that the Machine Learning Algorithm and the use of this algorithm are used to classify network traffic.

Traffic Classification, Computer Networks, C5.0, Machine Learning Algorithms (MLAs), Performance Monitoring

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