Network Intrusion Detection

This project is a network intrusion detector, a predictive model built to distinguish between bad connections (intrusions/attacks) and good (normal) connections. The dataset used is KDD Cup 1999 dataset and various machine learning algorithms have been used to train the model. The UI has been developed using flask framework.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

• Python 3
• Required Libraries : pandas, numpy, sklearn, flask, pickle

Installing

• Clone the repository
  git clone https://github.com/<username>/network-intrusion-detection.git
• Install the required libraries
  pip install -r requirements.txt
• Run the app
  python app.py

Built With

• Python - Programming Language
• Flask - Web Framework
• Scikit-learn - Machine Learning Library