mohamedboukthir / malware-detection-ml

Malware Detection using Machine Learning

Overview

This project aims to develop a machine learning model for detecting malware using Python and scikit-learn. The model leverages techniques such as feature selection, classification, and evaluation to accurately identify malicious software.

Table of Contents

• Installation
• Usage
• Project Structure
• Contributing

Installation

1. Clone the repository:

   git clone https://github.com/MohamedBoukthir/malware-detection-ml.git
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

Usage

1. Ensure you have Python and pip installed.
2. Navigate to the project directory.
3. Run the script:

   python malware-detect.py
   

Project Structure

• malware-detect.py: Main Python script containing the machine learning model.
• MalwareData.csv: Dataset used for training and testing the model.
• README.md: Documentation and instructions for the project.
• requirements.txt: List of required Python libraries and versions.

Contributing

Contributions are welcome! If you have suggestions or improvements, feel free to open an issue or create a pull request.