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pufdataanalysis's Introduction

PUF Data Analysis

MIT License puf.png

This repository contains a Python tool for analyzing Physical Unclonable Functions (PUFs). PUFs are a type of security technology that uses the inherent physical variations in hardware to produce unique identifiers and cryptographic keys. This tool provides a small suite for assessing various properties of PUFs, including uniqueness, uniformity, reliability, and bit-aliasing.

Usage

  1. Install all necessary dependencies using poetry:
     poetry install
  2. Place your raw PUF data in the DATA_DIRECTORY.
  3. Run:
    poetry run python main.py
    The tool will convert your data to binary format and store it in BIN_DATA_DIRECTORY. The tool then processes the binary data to compute bit aliasing, reliability, uniqueness, and uniformity values.
  4. The results for the metrics reliability, uniformity, uniqueness and bit-aliasing will be printed to the console.

Development Tools

Pre-commit

Pre-commit is used in this project to ensure that git commits adhere to a consistent style and prevent committing problematic code. The hooks configured in .pre-commit-config.yaml will automatically check and fix issues (where possible) in the staged files when you run git commit. Using this project's pyproject.toml, poetry already installs pre-commit for you, so no need to take care of it manually! If you want to run pre-commit manually, enter the poetry shell and use:

pre-commit run

Poetry

Poetry is a tool for dependency management and packaging in Python. It allows you to declare the libraries your project depends on and it will manage (install/update) them for you. If you would like to add a package, simply run:

poetry add <name-of-dependency>

To run a script using poetry's venv:

poetry run python main.py

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