DDoS Simulation in a Software Defined Network

This project aims to provide a basic framework for DDoS mitigation using Deep reinforcement learning. The network is implemented using Mininet (based on Software defind networking).

Getting Started

Clone the repository

git clone https://github.com/santhisenan/SDN_DDoS_Simulation.git

Prerequisites

Install dependencies

• Install Mininet

• Install OpenVSwitch

• Install Ryu

• Install Tensorflow

• Install Keras

• Clone ryu repository and copy ryu/ryu folder to SDN_DDoS_Simulation root

Testing

Modify simple_tree_top.py according to test purpose

cd SDN_DDoS_Simulation
python simple_tree_top.py

Open a new Terminal tab

PYTHONPATH=. ryu/ryu/bin/ryu-manager main.py

Running

cd SDN_DDoS_Simulation
python tree_topology.py

Open a new Terminal tab

PYTHONPATH=. ryu/ryu/bin/ryu-manager main.py

Built With

• Ryu Controller - Controller Framework for SDN
• Mininet - SDN simulator
• OpenVSwitch - Custom switch for SDN
• Tensorflow - Deep Learning Framework
• Keras - Deep Learning Framework

Authors

• Santhisenan Ajith
• Vishnu Kaimel
• Mohammed Musthafa K
• Ankith Madusudanan

License

This project is licensed under the MIT License - see the LICENSE.md file for details