Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function for secure component identification
| Autor: | Thomas Meissner, Benedikt Wigger, Volker Jetter, André Zimmermann, Alexander Förste |
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| Přispěvatelé: | Publica |
| Rok vydání: | 2018 |
| Předmět: |
Surface (mathematics)
Computer science Physical unclonable function lcsh:Medicine 02 engineering and technology Article Set (abstract data type) Robustness (computer science) Component (UML) component identification 0202 electrical engineering electronic engineering information engineering PUF lcsh:Science label-free tracking Authentication Multidisciplinary business.industry lcsh:R 021001 nanoscience & nanotechnology physical unclonable function Identification (information) lcsh:Q 020201 artificial intelligence & image processing 0210 nano-technology business Computer hardware Image based |
| Zdroj: | Scientific Reports, Vol 8, Iss 1, Pp 1-9 (2018) Scientific Reports |
| ISSN: | 2045-2322 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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