Spectral physical unclonable functions: downscaling randomness with multi-resonant hybrid particles

Martin Sandomirskii (), Elena Petrova, Pavel Kustov, Lev Chizhov, Artem Larin, Stéphanie Bruyère, Vitaly Yaroshenko, Eduard Ageev, Pavel Belov and Dmitry Zuev ()
Additional contact information
Martin Sandomirskii: ITMO University
Elena Petrova: ITMO University
Pavel Kustov: ITMO University
Lev Chizhov: ITMO University
Artem Larin: ITMO University
Stéphanie Bruyère: Université de Lorraine, CNRS, IJL
Vitaly Yaroshenko: ITMO University
Eduard Ageev: ITMO University
Pavel Belov: ITMO University
Dmitry Zuev: ITMO University

Nature Communications, 2025, vol. 16, issue 1, 1-12

Abstract: Abstract Optical physical unclonable functions (PUFs) are state-of-the-art in advanced security applications. Fabricated with inherent randomness, they generate fingerprint-like responses, serving as trust anchors for material assets. However, the existing PUFs, typically reliant on microscopic spatial features, face increasing threats from rapidly advancing microscale manipulation techniques. Here, we present novel PUFs based on random nanoscale variations within multi-resonant gold-silicon particles. These inevitable structural differences, coupled with strong optical resonances, provide unique spectral features in particles’ photoluminescence (PL), which we encode as unclonable keys. Our approach surpasses the shortcomings of diffraction-limited designs, additionally offering a multi-functional platform for robust authentication of goods and verification of individuals. We demonstrate two security label models based on PL mapping and direct PL imaging, as well as a concept for the first all-optical one-time password verification token with an exceptionally high storage density of unique information. This work paves the way toward nanoscale-enabled unclonability, bringing enhanced security for hardware-based cryptography, personalized access control, and cutting-edge anti-counterfeiting.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-60121-9 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60121-9

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-60121-9

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().