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  5. Printed smart devices for anti-counterfeiting allowing precise identification with household equipment
 
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Printed smart devices for anti-counterfeiting allowing precise identification with household equipment
File(s)
Printed smart devices for anti-counterfeiting allowing precise identification with household equipment.pdf (4.49 MB)
Published version
Author(s)
Zhang, Junfang
Tan, Rong
Liu, Yuxin
Albino, Matteo
Zhang, Weinan
more
Type
Journal Article
Abstract
Counterfeiting has become a serious global problem, causing worldwide losses and disrupting the normal order of society. Physical unclonable functions are promising hardware-based cryptographic primitives, especially those generated by chemical processes showing a massive challenge-response pair space. However, current chemical-based physical unclonable function devices typically require complex fabrication processes or sophisticated characterization methods with only binary (bit) keys, limiting their practical applications and security properties. Here, we report a flexible laser printing method to synthesize unclonable electronics with high randomness, uniqueness, and repeatability. Hexadecimal resistive keys and binary optical keys can be obtained by the challenge with an ohmmeter and an optical microscope. These readout methods not only make the identification process available to general end users without professional expertise, but also guarantee device complexity and data capacity. An adopted open-source deep learning model guarantees precise identification with high reliability. The electrodes and connection wires are directly printed during laser writing, which allows electronics with different structures to be realized through free design. Meanwhile, the electronics exhibit excellent mechanical and thermal stability. The high physical unclonable function performance and the widely accessible readout methods, together with the flexibility and stability, make this synthesis strategy extremely attractive for practical applications.
Date Issued
2024-02-03
Date Acceptance
2024-01-23
Citation
Nature Communications, 2024, 15 (1)
URI
http://hdl.handle.net/10044/1/109609
DOI
https://www.dx.doi.org/10.1038/s41467-024-45428-3
ISSN
2041-1723
Publisher
Nature Portfolio
Journal / Book Title
Nature Communications
Volume
15
Issue
1
Copyright Statement
© The Author(s) 2024. 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
http://creativecommons.org/licenses/by/4.0/
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/38310090
PII: 10.1038/s41467-024-45428-3
Publication Status
Published
Coverage Spatial
England
Article Number
1040
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