Post-Quantum Cryptography Testbed

This project provides a Docker-based testbed for experimenting with Post-Quantum Cryptography (PQC). The aim is to explore and implement post-quantum algorithms in a controlled environment. This testbed is designed to support different quantum-safe cryptographic algorithms and evaluate their performance and security.

🚀 Features

• Docker-based infrastructure for easy setup and isolation.
• Integration of quantum-resistant algorithms such as Kyber, NTRU, and others.
• Modular architecture to easily add or remove cryptographic algorithms.
• Use of Quantum-safe key exchange protocols.
• Configuration for testing performance and scalability of PQC algorithms.

🛠️ Setup

Prerequisites

• Docker and Docker Compose installed on your machine.
• A modern Linux/Unix-based system (Ubuntu preferred).
• Basic knowledge of cryptographic algorithms and quantum computing.

Installation

1. Clone the repository:

   git clone https://github.com/fobaty/pqc-testbed.git
   cd pqc-testbed

2. Build the Docker containers:

   docker-compose build

3. Start the testbed:

   docker-compose up

The services will now be running and ready for testing.

🧪 How to Use

1. Access the testbed services:

   • Use the client and server containers to simulate cryptographic exchanges.
   • Test quantum-safe encryption, key exchange, and other cryptographic functionalities.

2. For advanced configurations, modify the docker-compose.yml file and add your custom algorithms.

📊 Performance Metrics

The testbed also includes tools to measure the performance of various PQC algorithms, including:

• Latency
• Throughput
• Computational cost

🔐 Security Considerations

As post-quantum cryptography is still in its early stages, the testbed allows you to experiment with different algorithms and configurations to assess their security and efficiency.

📅 Future Work

• Integration with real-world applications for deployment of quantum-safe cryptography.
• Evaluation of more advanced PQC algorithms.
• Stress testing and benchmarking for high-volume environments.

🤝 Contributing

If you'd like to contribute, feel free to fork the repository and submit a pull request. Please ensure your contributions align with the project's goals and follow the coding guidelines.

📜 License

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