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nids's Introduction

NIDS

Major project on Network Intrusion Detection System

Repository Structure

Network-Intrusion-Detection-Using-Machine-Learning

  • Datasets

    • Normal_data.csv - CSV Dataset file for Normal data
    • metasploit.csv - CSV dataset file for attacks
    • bin_data.csv - CSV dataset for Binary labels
  • Labels

    • le1_classes.npy - Numpy file for ndarray containing Binary Labels
  • Models

    • lst_binary.json - Trained Long Short-Term Memory Model JSON File for Binary
  • Weights

    • lst_binary.h5 - Model weights of Long Short-Term Memory Model for Binary
  • Plots

    • Pie_chart_binary.png - Pie chart of Binary Classificatio
    • lstm_binary.png - Long Short-Term Memory Model Summary for Binary Classification
    • lstm_binary_accuracy.png - Long Short-Term Memory Accuracy Plot for Binary
    • lstm_binary_loss.png - Long Short-Term Memory Loss Plot for Binary Classification
    • lstm_binary_roc.png - Multi Layer Perceptron Loss Plot for Multi-class

Dataset

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

Prerequisites

  • Keras
  • Sklearn
  • Pandas
  • Numpy
  • Matplotlib

Running the Notebook

The notebook can be run on

  • Google Colaboratory

nids's People

Contributors

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Stargazers

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Watchers

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Forkers

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