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Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function for secure component identification

A Physical Unclonable Function uses random and inherent properties of a physical entity and can be used to uniquely identify components e.g., for anti-counterfeiting purposes. In this work we demonstrate that the surface patterns of injection moulded plastic components themselves are inherently uniq...

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Autores principales: Wigger, Benedikt, Meissner, Thomas, Förste, Alexander, Jetter, Volker, Zimmermann, André
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856780/
https://www.ncbi.nlm.nih.gov/pubmed/29549299
http://dx.doi.org/10.1038/s41598-018-22876-8
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author Wigger, Benedikt
Meissner, Thomas
Förste, Alexander
Jetter, Volker
Zimmermann, André
author_facet Wigger, Benedikt
Meissner, Thomas
Förste, Alexander
Jetter, Volker
Zimmermann, André
author_sort Wigger, Benedikt
collection PubMed
description A Physical Unclonable Function uses random and inherent properties of a physical entity and can be used to uniquely identify components e.g., for anti-counterfeiting purposes. In this work we demonstrate that the surface patterns of injection moulded plastic components themselves are inherently unique and hence can be used as a PUF for reliable and secure identification. We further demonstrate that these unique surface patterns are easily accessible since they can be photographed with a simple camera set-up. This is exemplarily demonstrated for two different plastic materials on an overall of 200 injection moulded components. A set of brief experiments further examines the PUF’s robustness towards real life conditions. This approach might be useful for secure identification and authentication of components or a label-free tracking.
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spelling pubmed-58567802018-03-22 Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function for secure component identification Wigger, Benedikt Meissner, Thomas Förste, Alexander Jetter, Volker Zimmermann, André Sci Rep Article A Physical Unclonable Function uses random and inherent properties of a physical entity and can be used to uniquely identify components e.g., for anti-counterfeiting purposes. In this work we demonstrate that the surface patterns of injection moulded plastic components themselves are inherently unique and hence can be used as a PUF for reliable and secure identification. We further demonstrate that these unique surface patterns are easily accessible since they can be photographed with a simple camera set-up. This is exemplarily demonstrated for two different plastic materials on an overall of 200 injection moulded components. A set of brief experiments further examines the PUF’s robustness towards real life conditions. This approach might be useful for secure identification and authentication of components or a label-free tracking. Nature Publishing Group UK 2018-03-16 /pmc/articles/PMC5856780/ /pubmed/29549299 http://dx.doi.org/10.1038/s41598-018-22876-8 Text en © The Author(s) 2018 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/.
spellingShingle Article
Wigger, Benedikt
Meissner, Thomas
Förste, Alexander
Jetter, Volker
Zimmermann, André
Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function for secure component identification
title Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function for secure component identification
title_full Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function for secure component identification
title_fullStr Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function for secure component identification
title_full_unstemmed Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function for secure component identification
title_short Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function for secure component identification
title_sort using unique surface patterns of injection moulded plastic components as an image based physical unclonable function for secure component identification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856780/
https://www.ncbi.nlm.nih.gov/pubmed/29549299
http://dx.doi.org/10.1038/s41598-018-22876-8
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