Paper Title
Artificial Neural Network Based Classification of Network Traffic

With the increasing popularity of encrypted data transmission by many people who like to utilize a Virtual Private Network (VPN) or Tor Browser (dark web) to maintain their data privacy and hidden. This affects and complicates the Quality Of Service (QoS) of the other users. Here we see the classification of net work traffic data in terms of VPN and non-VPN traffic is studied based on the efficiency of time-based features extracted from network packets(NP). Therefore, It is suggested to use the Artificial Neural Network (ANN) model that categorizes network traffic into encrypted and unencrypted traffic. The proposed net work uses Standardization technique which is used to re-scale features valuewiththedistributionvaluebetween0and1isuseful for the optimization before feeding it into ANN Model, to accomplish the experiment’s objective Keywords - Component; Quality Of Service, Network Packets, Artificial Neural Network.