Recent Advancement in Machine Learning Based Internet Traffic Classification

With the advancement of technology and communication system, use of internet is giving at a tremendous role. This causes an exponential growth of data and traffic over the internet. So to correctly classify this traffic is a hot research area. Internet traffic classification is a very popular tool against the information detection system. Although so many methods had been develop to efficiently classify internet traffic but among them machine learning techniques are most popular. A brief survey on various supervised and unsupervised machine learning techniques applied by various researchers to solve internet traffic classification has been discussed. This paper also present various issues related to machine learning techniques that may help interested researchers to work future in this direction.