An open-source SBox analysis utility
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Updated
Mar 25, 2025 - Python
An open-source SBox analysis utility
A respository of Differential Cryptanalysis. Mainly focusing on SPN structure, lower bound of active Sbox, differential characteristic.
This is a library that tries to break SPN ciphers in an fully automatic manner.
use the smt solver to find the sbox implementation
Source-codes (with examples) to get threshold implementations for a given SBox
This repository hosts the code and resources for the work titled "Lightweight Neural SBox Evaluation", authored by Binyamin Alony and Tommy Levi from Bar-Ilan University. The project explores the application of binary neural networks in evaluating the quality metrics of substitution boxes (S-Boxes) used in modern symmetric cryptography.
Almost Perfectly Non-linear (APN) S-box problem generator
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