t-wise-ind-SPN
Code for the CRYPTO 2023 paper "Layout Graphs, Random Walks and the $t$-wise Independence of SPN Block Ciphers" by T. Liu, A. Pelecanos, S. Tessaro, V. Vaikuntanathan.
Contents
General files
- utils.py
- Contains general functions.
- compute_matrices.py
- Computes the transition matrices CF, FC, CC.
- The transition matrices will be stored under the folder "files".
- test.py
Results files
- table2.py
- Computes the values of Table 2
- table3.py
- Computes the values of Table 3
- theorem5.py
- Numerical proof of Theorem 5
- theorem6.py
- Numerical proof of Theorem 6