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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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. |
format | Online Article Text |
id | pubmed-5856780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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