FROST-Notebook

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Learn how FROST works by implementing it!

FROST-Notebook 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# FROST Notebook

This Python Jupyter Notebook provides an educational implementation of the FROST (Flexible Round-Optimized Schnorr Threshold) cryptographic protocol. FROST is a protocol that enables secure multi-party threshold digital signatures.

Please note that this implementation is **not meant for production use** and is intended solely for educational purposes. It serves as a basic example to help understand the concepts of the FROST protocol and its implementation. Use it at your own risk and discretion.

Shout out to Jesse Posner's [refrence python implementation](https://github.com/jesseposner/FROST-BIP340/tree/main)

## About FROST Protocol

FROST (Flexible Round-Optimized Schnorr Threshold) is a cryptographic protocol that allows multiple parties to collaboratively sign a message while maintaining security against various types of attacks. It utilizes threshold cryptography, where a signature can be generated only when a threshold number of parties cooperate.

## Notebook Contents

1. **Setup and Dependencies:** Details about the required libraries and tools to run the notebook.

2. **Key Generation:** Step-by-step key generation process for FROST protocol.

3. **Signature Generation:** Explanation and code for generating a collaborative threshold signature.

4. **Signature Verification:** Verifying the validity of the threshold signature.

5. **Sample Usage:** Example usage of the FROST protocol functions.

## Warning

The code provided in this notebook is **not secure for production use**. It lacks various security measures and optimizations necessary for real-world deployment. Do not use this code for actual cryptographic operations or applications.

## Getting Started

To run the notebook and explore the FROST protocol implementation:

1. Clone this repository to your local machine.
2. Install the required dependencies as specified in the notebook.
3. Open the notebook using Jupyter Notebook or JupyterLab.
4. Follow along with the provided code and explanations.

## Disclaimer

This notebook is provided as-is and without warranty. The authors and contributors are not responsible for any damages or consequences that may arise from using this code for any purpose.

## Resources

- Original FROST Paper: [Flexible Round-Optimized Schnorr Threshold Signatures](https://eprint.iacr.org/2020/852.pdf)

## TODO
- Replace a signer and still sign
- ROAST

## License

This notebook is released under the [MIT License](LICENSE).

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**Note:** Always exercise caution and proper understanding when working with cryptography. If you intend to use cryptographic protocols for real-world applications, consult with experts and adhere to best practices.

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