Network Traffic Classification: Solution to Detect Intruder

Network Traffic Classification is a challenging task in the of intrusion detection. Using the network traffic classification techniques, admin can identify whether the incoming request is genuine or fake. NTC can be done in 2-class and multi-class classification. In this paper, we have discussed the approaches such as port based; Flow-based which are helpful to tackle the intrusion, so Many researchers are finding ways to do proper classification. Some datasets are available for Network traffic Classification such as KDD’99, NSL-KDD, HIKARI-2021 AND UNSW-NB15; we have elaborated characteristics and effectiveness of dataset. We have provided existing literature study which will be helpful for the researcher to compare the techniques and results, Naive Bayes classifier is widely used technique. UNSW-NB15 is an open-source dataset available for researchers to compare their results. This paper summarizes the statistical description of the dataset UNSW-NB15.