NETWORK TRAFFIC CLASSIFICATION TECHNIQUES-A REVIEW

With the growth in the amount of devices associated with the internet; the data that is getting circulated over the internet is also increasing. It is an undeniable fact that this data has significant presence for individuals as well as for organizations. A network needs to handle this massive amount of data traffic which contains malicious data as well. Therefore, it is very essential to distinguish between normal and abnormal traffic by analyzing the network traffic. A number of network traffic classification techniques are available. The researchers are trying to find the traffic classification techniques that do not depend on port numbers or that do not read the packet payload contents. In this study, an analysis of various traffic classification techniques and the application of several Machine learning techniques for traffic classification is carried out. This survey paper also presents a brief review of various machine learning techniques for traffic classification.