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SRAM-Based PUF Readouts
Large-scale parameter characterization of Physical Unclonable Functions (PUFs) is of paramount importance in order to assess the quality and thus the suitability of such PUFs which would then be developed as an industrial-grade solution for hardware root of trust. Carrying out a proper characterizat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224988/ https://www.ncbi.nlm.nih.gov/pubmed/37244915 http://dx.doi.org/10.1038/s41597-023-02225-9 |
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author | Vinagrero, Sergio Martin, Honorio de Bignicourt, Alice Vatajelu, Elena-Ioana Di Natale, Giorgio |
author_facet | Vinagrero, Sergio Martin, Honorio de Bignicourt, Alice Vatajelu, Elena-Ioana Di Natale, Giorgio |
author_sort | Vinagrero, Sergio |
collection | PubMed |
description | Large-scale parameter characterization of Physical Unclonable Functions (PUFs) is of paramount importance in order to assess the quality and thus the suitability of such PUFs which would then be developed as an industrial-grade solution for hardware root of trust. Carrying out a proper characterization requires a large number of devices that need to be repeatedly sampled at various conditions. These prerequisites make PUF characterization process a very time-consuming and expensive task. Our work presents a dataset for the study of SRAM-based PUFs on microcontrollers; it includes full SRAM readouts along with internal voltage and temperature sensors of 84 microcontrollers of STM32 type. Data has been gathered with a custom-made and open platform designed for the automatic acquisition of SRAM readouts of such devices. This platform also provides possibilities of experimenting aging and reliability properties. |
format | Online Article Text |
id | pubmed-10224988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102249882023-05-29 SRAM-Based PUF Readouts Vinagrero, Sergio Martin, Honorio de Bignicourt, Alice Vatajelu, Elena-Ioana Di Natale, Giorgio Sci Data Data Descriptor Large-scale parameter characterization of Physical Unclonable Functions (PUFs) is of paramount importance in order to assess the quality and thus the suitability of such PUFs which would then be developed as an industrial-grade solution for hardware root of trust. Carrying out a proper characterization requires a large number of devices that need to be repeatedly sampled at various conditions. These prerequisites make PUF characterization process a very time-consuming and expensive task. Our work presents a dataset for the study of SRAM-based PUFs on microcontrollers; it includes full SRAM readouts along with internal voltage and temperature sensors of 84 microcontrollers of STM32 type. Data has been gathered with a custom-made and open platform designed for the automatic acquisition of SRAM readouts of such devices. This platform also provides possibilities of experimenting aging and reliability properties. Nature Publishing Group UK 2023-05-27 /pmc/articles/PMC10224988/ /pubmed/37244915 http://dx.doi.org/10.1038/s41597-023-02225-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Vinagrero, Sergio Martin, Honorio de Bignicourt, Alice Vatajelu, Elena-Ioana Di Natale, Giorgio SRAM-Based PUF Readouts |
title | SRAM-Based PUF Readouts |
title_full | SRAM-Based PUF Readouts |
title_fullStr | SRAM-Based PUF Readouts |
title_full_unstemmed | SRAM-Based PUF Readouts |
title_short | SRAM-Based PUF Readouts |
title_sort | sram-based puf readouts |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224988/ https://www.ncbi.nlm.nih.gov/pubmed/37244915 http://dx.doi.org/10.1038/s41597-023-02225-9 |
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