ML_for_IDS

• This project involves training supervised machine learning models to create an Intrusion Detection System

• More than 90% accuracy achieved throughout, for each model

• Dataset used: KDD-99 Dataset

• Machine Learning Models used: Naive Bayes, SVM and Logistic Regression

Prerequisite

While Jupyter runs code in many programming languages, Python is a requirement (Python 3.3 or greater, or Python 2.7) for installing the JupyterLab or the classic Jupyter Notebook.

Installation

Use the package manager pip to install jupyter

pip install notebook

Usage

Congratulations, you have installed Jupyter Notebook! To run the notebook, run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows):

jupyter notebook

Contributing

• Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

• Please make sure to update tests as appropriate.

License

MIT