Automated Author Profile

Riboli, Francesco

CNR-INO

Current S-Index

1.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

76.0%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Hyper PUF with multi-level operation: Challenge-Response Pair Library

An optical PUF with multi level operation (that we named as Hyper PUF) is interrogated with a set of 100 Random Probing Challenges producing in the far field an optical response, the speckle pattern. The multi-level operation is induced by modifying the scattering properties of the PUF with a second light pattern, the Transforming Level. Per each Transforming Level, we acquired the Responses to the 100 Random Probing Challenges. In this repository, we collect the Random Probing Challenges, the ten Transforming Levels and the relative Responses to the Probing Challenges per each Transforming Level.

Authors

  • Nocentini, Sara ;
  • Rührmair, Ulrich ;
  • Barni, Mauro ;
  • Wiersma, S. Diederik ;
  • Riboli, Francesco
0 Citations0 Mentions79% FAIR0.5 Dataset Index
10.5281/zenodo.83771562023

Hyper PUF with multi-level operation: Challenge-Response Pair Library

An optical PUF with multi level operation (that we named as Hyper PUF) is interrogated with a set of 100 Random Probing Challenges producing in the far field an optical response, the speckle pattern. The multi-level operation is induced by modifying the scattering properties of the PUF with a second light pattern, the Transforming Level. Per each Transforming Level, we acquired the Responses to the 100 Random Probing Challenges. In this repository, we collect the Random Probing Challenges, the ten Transforming Levels and the relative Responses to the Probing Challenges per each Transforming Level.

Authors

  • Nocentini, Sara ;
  • Rührmair, Ulrich ;
  • Barni, Mauro ;
  • Wiersma, S. Diederik ;
  • Riboli, Francesco
0 Citations0 Mentions73% FAIR0.5 Dataset Index
10.5281/zenodo.83771552023