• Namita
• Rahul

The network traffic classification task is focused on recognizing diverse kinds of applications or traffic data for which the received data packets are analyzed that is essential in communication networks in these days. A network controller must have efficient understanding of applications and protocols in the network traffic to deploy the suitable security solutions. In addition, the name or kind of application is recognized and classified in the network for treating some aspects in advance. The process to classify the network traffic has become popular among research community along with the industrial field. A number of schemes have been put forward and constructed over the last two decades. The network traffic can be classified in several stages, in which pre-processing is done, attributes are extracted and classification is performed. The various machine learning models are reviewed in this paper for the network traffic classification

Network Traffic Classification, Machine learning, Classification, KDD

"Network traffic classification techniques: a review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.d263-d271, September-2023, Available :http://www.jetir.org/papers/JETIR2309326.pdf

"Network traffic classification techniques: a review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppd263-d271, September-2023, Available at : http://www.jetir.org/papers/JETIR2309326.pdf