This project contains the Python package puf_quasideal_model, which provides utilities for exploiting the quasi-ideal PUF model developed by the Group of Electronic Design (GDE) research group at the University of Zaragoza, Spain.

Requirements

The software is Python-based. A comprehensive list of dependencies can be found in the requirements.txt file

Installation

To get started, follow these steps:

1. Clone this repository and navigate to its directory:

   git clone [] 
   cd []

2. Create a Python virtual environment:

   python -m venv [venv_name]

3. Install the dependencies listed in requirements.txt:

   python -m pip install -r requirements.txt

4. Install the puf_quasideal_model package:

   python setup.py install

Usage

Simulation

After installation, this package provides two different console scripts: pqm-simulation and pqm-dks-distribution. These scripts accept various command-line options that control the simulation parameters. The first script generates a .txt file containing the simulated intra- and inter-Hamming distance distributions, while the second script generates a .txt file containing the Kolmogorov-Smirnov distance distribution obtained from both intra- and inter-Hamming distance binomial fits.

Analysis

This project includes a Jupyter notebook Tutorial/Tutorial.ipynb which guides the user through the entire analysis workflow.