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

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

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

Abstract

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.

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

Keywords

Challenge Response Pairs; Optical Physical Unclonable Functions; PUF, Optics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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