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Adaptive Anomaly Detection System for Software Defined Networks

Tasks ( โฌœ - Not Started, ๐ŸŸจ - Ongoing, ๐ŸŸฉ - Completed )

๐ŸŸฉ Topology creation with Mininet

๐ŸŸฉ RYU controller stats collection

๐ŸŸฉ Stats sending to Database

๐ŸŸฉ Dataset generation

๐ŸŸฉ WebPage design and integration

๐ŸŸฉ ML models research

๐ŸŸฉ Attack generation

๐ŸŸฉ Integrating ML models with RYU controller

๐ŸŸฉ Final tests

Environment

  1. Ubuntu 20.04 LTS
  2. mininet 2.3.0
  3. ryu-manager 4.30

Prerequisites

  1. Mininet emulation tool
sudo apt-get install mininet
pip3 install mininet
  1. Python 3
sudo apt install python3
  1. RYU controller
pip3 install ryu (OR) sudo apt install python3-ryu
  1. Other dependencies
sudo apt-get install ffmpeg
sudo apt-get install netcat
pip3 install pymongo
  1. Machine learning models:
  • RBM (Restricted Boltzamann Machine)
  • VAE (Variational Auto-Encoder)
  • N-BEATS

Running the system

  1. Run the RYU controller
ryu-manager [--verbose] ./path/to/your-app.py
  1. Run mininet topology file
sudo python3 ./path/to/topology-file.py

The same is also implemented in BASH file 'run.sh'

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