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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...

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Autores principales: Vinagrero, Sergio, Martin, Honorio, de Bignicourt, Alice, Vatajelu, Elena-Ioana, Di Natale, Giorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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