Published July 28, 2022 | Version 1.0

Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions (DATA and Python codes)

  • 1. National Institute of Optics, CNR-INO, European Laboratory for Non Linear Spectroscopy and Department of Physics, University of Florence
  • 2. Istituto Nazionale di Ricerca Metrologica, Istituto Nazionale di Ricerca Metrologica - INRIM, Universita degli Studi di Firenze Laboratorio Europeo di Spettroscopie Non Lineari, University of Florence
  • 3. Istituto Nazionale di Ricerca Metrologica, Istituto Nazionale di Ricerca Metrologica - INRIM
  • 4. Istituto Nazionale di Ricerca Metrologica, Istituto Nazionale di Ricerca Metrologica - INRIM, Universita degli Studi di Firenze Laboratorio Europeo di Spettroscopie Non Lineari and Dept. of Physics at University of Florence
  • 5. Physics Dept. LMU München, München, Germany. Electrical and Computer Engineering (ECE) Dept., University of Connecticut, Storrs, CT, USA
  • 6. National Institute of Optics, CNR-INO, European Laboratory for Non Linear Spectroscopy at University of Florence
  • 1. Consiglio Nazionale delle Ricerche, Università degli Studi di Firenze Dipartimento di Fisica e Astronomia
  • 2. Istituto Nazionale di Ricerca Metrologica, Istituto Nazionale di Ricerca Metrologica - INRIM, Universita degli Studi di Firenze Laboratorio Europeo di Spettroscopie Non Lineari, University of Florence
  • 3. Istituto Nazionale di Ricerca Metrologica, Istituto Nazionale di Ricerca Metrologica - INRIM
  • 4. Istituto Nazionale di Ricerca Metrologica, Istituto Nazionale di Ricerca Metrologica - INRIM, Universita degli Studi di Firenze Laboratorio Europeo di Spettroscopie Non Lineari and Dept. of Physics at University of Florence
  • 5. Physics Dept. LMU München, München, Germany. Electrical and Computer Engineering (ECE) Dept., University of Connecticut, Storrs, CT, USA
  • 6. Consiglio Nazionale delle Ricerche, Santa Clara University, Università degli Studi di Firenze Dipartimento di Fisica e Astronomia

Description

The data contain experimental and numerical challenge response pairs (CRPs) collected by experimental setup and using Puffraction homebuilt code. In the data set is available all CRPs referred to the paper entitled "Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions" by Giuseppe Emanuele Lio, Sara Nocentini, Lorenzo Pattelli, Eleonora Cara, Diederik Sybolt Wiersma,  Ulrich R"uhrmair, and Francesco Riboli. 

 

The puffractio python code used to generate and process the numerical data is available at the following link https://github.com/lpattelli/puffractio.git

 

Please cite the following paper: 

Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions

Giuseppe Emanuele Lio, Sara Nocentini, Lorenzo Pattelli, Eleonora Cara, Diederik Sybolt Wiersma, Ulrich Rührmair, Francesco Riboli

https://onlinelibrary.wiley.com/doi/full/10.1002/adpr.202200225

Notes

For details about the code used to simulate perturbations in optical physical unclonable functions or data analysis, please feel free to contact G.E. Lio at lio@lens.unifi.it or L. Pattelli at pattelli@lens.unifi.it

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