CASCADA
CASCADA (Characteristic Automated Search of Cryptographic Algorithms for Distinguishing Attacks) is a Python 3 library to evaluate the security of cryptographic primitives, specially block ciphers, against distinguishing attacks with bit-vector SMT solvers.
A detailed introduction of CASCADA can be found in the paper Characteristic Automated Search of Cryptographic Algorithms for Distinguishing Attacks (CASCADA).
CASCADA implements several SMT-based automated search methods to search for characteristics and zero-probability properties to evaluate the security of ciphers against:
- differential cryptanalysis
- related-key differential cryptanalysis
- rotational-XOR cryptanalysis
- impossible-differential cryptanalysis
- related-key impossible-differential cryptanalysis
- impossible-rotational-XOR cryptanalysis
- linear cryptanalysis
- zero-correlation cryptanalysis
The online documentation of CASCADA can be found here.
Installation
CASCADA requires Python 3 (>= 3.10) and the following Python libraries:
- cython
- sympy
- bidict
- cffi
- wurlitzer
- pySMT
These libraries can be easily installed with pip:
pip install cython sympy bidict cffi wurlitzer pysmtCASCADA also requires an SMT solver supporting the bit-vector theory, installed through pySMT. For example, the SMT solver boolector can be installed through pySMT by
pysmt-install --btorOptionally, hypothesis can be installed to run the tests, and sphinx and sphinx-rtd-theme to build the documentation.
Citation
If you use CASCADA, please consider citing the paper:
@article{DBLP:journals/iet-ifs/RaneaR22,author = {Adri{\'{a}}n Ranea and Vincent Rijmen},
title = {Characteristic automated search of cryptographic algorithms
for distinguishing attacks ({CASCADA})},
journal = {{IET} Inf. Secur.},
volume = {16},
number = {6},
pages = {470--481},
year = {2022},
doi = {https://doi.org/10.1049/ise2.12077}
}