Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions (DATA and Python codes)
收藏数据链接:
官方服务:
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.
提供机构:
Zenodo创建时间:
2022-07-29



