/Traffic-classifier-SDN

A system that could classify DNS, Telnet, Ping, Voice, Game, and Video traffic flows based on packet and byte information simulated by the Distributed Internet Traffic Generator (D-ITG) tool in an Software Defined Network (SDN) based network topology with Open vSwitch (OVS) using machine learning algorithms such as Logistic regression,K-Means clustering,K nearest neighbours, SVC, Gaussian NB and Random Forest Classifier.

Primary LanguagePython

Traffic-classifier-SDN

A system that could classify DNS, Telnet, Ping, Voice, Game, and Video traffic flows based on packet and byte information simulated by the Distributed Internet Traffic Generator (D-ITG) tool in an Software Defined Network (SDN) based network topology with Open vSwitch (OVS) using machine learning algorithms such as Logistic regression,K-Means clustering,K nearest neighbours, SVC, Gaussian NB and Random Forest Classifier.

Installation steps

D-IGT

https://github.com/jbucar/ditg

Mininet

http://mininet.org/download/

Open vSwitch

https://www.openvswitch.org/download/

Start Mininet topology

sudo mn --topo single,3 --mac --switch ovsk --controller remote

Start Real time prediction

python3 traffic_classifier_python3.py supervised