Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions (DATA and Python codes)
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https://zenodo.org/record/5986424
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资源简介：
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
创建时间：
2022-12-12
