EC25 Random-Probing Raccoon

This repository contains all the scripts necessary to reproduce the results presented in the paper:

"New Techniques for Random Probing Security and Application to Raccoon Signature Scheme" by Sonia Belaïd, Matthieu Rivain, and Mélissa Rossi, published at Eurocrypt 2025.

📌 Overview

The provided Python script allows for:

• Computing envelopes of elementary and meta-gadgets used in the Raccoon signature scheme.
• Evaluating the Random Probing Composability (RPC) security of key generation and signature algorithms.
• Measuring computational complexity of individual gadgets and the overall protocol.
• Reproducing numerical results and generating visual graphs as presented in the paper.

📜 Features

🔹 Basic Gadget Envelopes

The script includes functions to compute envelopes of elementary gadgets:

• cardinal_rpc_refresh_envelope(n, p, nb_iter): Computes the refresh gadget envelope with:

  • n: Number of shares.
  • p: Leaking wire probability.
  • nb_iter: Number of random values (gamma).

• cardinal_rpc_add_envelope(n, p, pgref): Computes the addition gadget envelope using:

  • pgref: Envelope of the underlying refresh gadget.

• cardinal_rpc_gcopy_envelope_pgref(n, pgref): Computes the copy gadget envelope.

• cardinal_rpc_gcmult_envelope_pgref(n, p, pgref): Computes the multiplication gadget envelope.

🔹 Meta-Gadget Envelopes

• Envelopes for complex meta-gadgets such as trees of copies and AddNoiseTo.

🔹 Security Evaluation of Raccoon

• rpc_keygen(n, t, tri, p, gamma1, gamma2, gamma3): Computes the RPC advantage for Raccoon key generation.
• rpc_sign(n, t, tri, p, gamma1, gamma2, gamma3): Computes the RPC advantage for Raccoon signature generation.

🔹 Complexity Computation

Functions to compute the computational cost of:

• Individual gadgets depending on different gamma values.
• Key generation and signature in Raccoon-128-16.

🛠️ Dependencies

This script requires:

• Python 3.x
• numpy, matplotlib, scipy, sympy

To install dependencies, run:

pip install numpy matplotlib scipy sympy

▶️ Usage

Ensure the script includes a main entry point with function calls, such as:

if __name__ == "__main__":
    # Example function calls
    print("Computing RPC envelopes...")
    rpc_keygen(n=16, t=8, tri=15, p=2**-16, gamma1=80, gamma2=20, gamma3=70)
    rpc_sign(n=16, t=8, tri=15, p=2**-16, gamma1=80, gamma2=20, gamma3=70)

Then, simply run the script:

python EC25-random-probing-Raccoon.py

To visualize graphs (if implemented in the script):

python EC25-random-probing-Raccoon.py --plot

📄 License

This project is distributed under the MIT License.

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For any questions, please refer to the paper or contact the authors.