Real-Time Cyber Anomaly Detection
Welcome to the documentation for the real-time network anomaly detection system.
Project Overview
This project implements an advanced anomaly detection system for network security using machine learning techniques and real-time analysis.
Key Features
- Real-time network traffic monitoring
- Machine learning-based anomaly detection
- Interactive dashboard for visualization
- Configurable alerting system
- Scalable and distributed architecture
Documentation
Quick Start
To get started with the project:
# Clone the repository
git clone https://github.com/francescacraievich/real-time-cyber-anomaly-detection.git
# Install dependencies
pip install -r requirements.txt
# Run the system
python main.py
Contributing
To contribute to this project, please check the guidelines in the GitHub repository.