This is the implementation base on the content of the paper
Testing Cryptographically Secure Pseudo Random Number Generators with
Artificial Neural Networks.
The python3 program rnn_tester evaluates (cryptographically
secure) pseudo random generators with AI.
To build the project the python package build is required
python3 -m pip install --upgrade build
To build a package use
python3 -m build
The tool requires the programm dieharder for statistical analysis of the results. Install the tool first.
-
Debian/Ubuntu:
sudo apt-get install dieharder -
Fedora:
sudo dnf install dieharder
Install the tool with
pip install ./dist/rnn_tester-<version>-py3-none-any.whl
The tool rnn_tester requires a binary file containing the result of an PRNG in <path-to-rng-file>.
Use
python3 rnn_tester [options] -i <path-to-rng-file>
to test your random numbers.
The folder test contains all unit test. All tests including statistical code analysis could be execute with
tox -r