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DDoS Protection Model

Welcome to the AI DDoS Protection System! This project leverages machine learning to identify and mitigate potential DDoS attacks using various algorithms. The application features a user-friendly interface to input network parameters and predict the likelihood of a DDoS attack.

Live Demo

You can see the live version of the application at this URL.

Table of Contents

Features

  • Real-time prediction of DDoS attacks.
  • User-friendly interface for inputting network parameters.
  • Visual representation of model performance metrics.

Installation

To get started, clone this repository and install the required packages:

git clone https://github.com/nky001/ddos.git
cd your_repository
pip install -r requirements.txt

Requirements

Make sure you have the following Python packages installed:

  • Flask
  • scikit-learn
  • joblib
  • flask_socketio
  • pandas
  • numpy
  • eventlet

You can create a requirements.txt file with the following content:

Flask
scikit-learn
joblib
flask_socketio
pandas
numpy
eventlet

Usage

Run the application using Gunicorn:

gunicorn -k gevent -w 1 app:app

Open your web browser and navigate to http://localhost:5000 to access the app.

Input Parameters

You can input the following network parameters to predict the likelihood of a DDoS attack:

  • Flow Duration
  • Source IP
  • Source Port
  • Destination IP
  • Destination Port
  • Total Forward Packets
  • Initial Backward Window Bytes
  • Protocol

Model Performance

Gaussian Naive Bayes

  • Training-set accuracy score: 81.90%
  • Model accuracy score: 81.87%

Random Forest Classifier

  • Cross-validation accuracy scores for each fold: [1.0, 1.0, 0.99999844, 0.99999844, 1.0]
  • Mean cross-validation accuracy: 99.9999%
  • Standard deviation: 7.66e-07

The models were trained using various machine learning techniques to ensure high accuracy in DDoS detection.

Dataset

The project uses a DDoS dataset sourced from Kaggle. You can download it using the following command:

import kagglehub

path = kagglehub.dataset_download("devendra416/ddos-datasets")
print("Path to dataset files:", path)

License

This project is licensed under the MIT License. See the LICENSE file for details.

Feel free to reach out if you have any questions or need further assistance. Thank you for checking out this.