Skip to content

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 algos such as Logistic regression,K-Means cluster

Notifications You must be signed in to change notification settings

gtiians/Traffic-Classifier-SDN

Repository files navigation

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 /jbucar/ditg

Mininet

http://mininet.org/download/

Open vSwitch

https:// openvswitch.org/download/

Start Mininet topology

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

Start Real time prediction

Python 3 traffic_classifier_ Python 3.py supervised

About

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 algos such as Logistic regression,K-Means cluster

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published