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major-proj-final's Introduction

NIDS

Major project on Network Intrusion Detection System

Repository structure

  • majorproj-main
    • contains images, LaTEX files and project report in pdf format
  • afaiLabeling
    • contains 2/3 of the validation set we created(DDOS dataset had size greater than 25 MB)
  • micMultiBB1
    • a folder containing the saved LSTM model
  • test_try.ipynb
    • preprocessing the validation dataset
  • try.ipynb
    • preprocessing the original dataset
  • lstMulti.py and lstMulti.ipynb
    • code containing the LSTM model used in the project.

Dataset

The InSDN dataset (https://aseados.ucd.ie/datasets/SDN/)

Prerequisites

  • Keras
  • Sklearn
  • Pandas
  • Numpy
  • Matplotlib

Running the project

The project can be run on python by running the three python files serially or in Colab/Jupyter notebook. If the choice is to run the notebook, the lstMulti.ipynb file must be run in colab.

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