Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity

Abstract Identity security and counterfeiting assume a critical importance in the digitized world. An effective approach to addressing these issues is the use of physically unclonable functions (PUFs). The overarching challenge is a simultaneous combination of extremely high encoding capacity, stable operation, practical fabrication, and a widely available readout mechanism. Herein this challenge is addressed by designing an optical PUF via exploiting the thickness‐dependent structural color formation in nanoscopic films of ZnO. The structural coloration ensures authentication using widely available bright‐field‐based optical readout, whereas the metal oxide provides a high degree of structural stability. True physical randomness in spatial position is achieved by physical vapor deposition of ZnO through stencil masks that are fabricated by pore formation in polycarbonate membranes via photothermal processing of stochastically positioned plasmonic nanoparticles. Structural coloration emerges from thin film interference as confirmed via simulation studies. The rich color variation and stochastic definition of domain size and geometry result in chaotic features with an encoding capacity that approaches (6.4 × 10 5 ) (2752×2208) . Deep learning‐based authentication is further demonstrated by transforming these chaotic features into unbreakable codes without field limitations. This ultra‐rich encoding capacity, coupled with outstanding thermal and chemical stability, forms a new cutting edge for state‐of‐the‐art PUF‐based encoding systems.

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Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2024-12-10
DOI
https://doi.org/10.1002/adfm.202417673
Citations
17
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
8.31

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article

Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity

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Advanced Functional Materials
Physical Unclonable Functions (PUFs) and Hardware Security
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article

Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity

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article en
17 citations

Abstract

Abstract Identity security and counterfeiting assume a critical importance in the digitized world. An effective approach to addressing these issues is the use of physically unclonable functions (PUFs). The overarching challenge is a simultaneous combination of extremely high encoding capacity, stable operation, practical fabrication, and a widely available readout mechanism. Herein this challenge is addressed by designing an optical PUF via exploiting the thickness‐dependent structural color formation in nanoscopic films of ZnO. The structural coloration ensures authentication using widely available bright‐field‐based optical readout, whereas the metal oxide provides a high degree of structural stability. True physical randomness in spatial position is achieved by physical vapor deposition of ZnO through stencil masks that are fabricated by pore formation in polycarbonate membranes via photothermal processing of stochastically positioned plasmonic nanoparticles. Structural coloration emerges from thin film interference as confirmed via simulation studies. The rich color variation and stochastic definition of domain size and geometry result in chaotic features with an encoding capacity that approaches (6.4 × 10 5 ) (2752×2208) . Deep learning‐based authentication is further demonstrated by transforming these chaotic features into unbreakable codes without field limitations. This ultra‐rich encoding capacity, coupled with outstanding thermal and chemical stability, forms a new cutting edge for state‐of‐the‐art PUF‐based encoding systems.

Advanced Functional MaterialsVol. 35(12)
Tianjin University (CN), Bilkent University (TR), Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (TR), Kayseri Eğitim ve Araştırma Hastanesi (TR), Kayseri Üniversitesi (TR), Erciyes University (TR), Abdullah Gül University (TR)
National Natural Science Foundation of China, Erciyes Üniversitesi, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Bilimsel Araştırma Projeleri, Erciyes Üniversitesi
Openalex Percentile: Top 1%
Physical Unclonable Functions (PUFs) and Hardware Security
8.31
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