ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024
Physical Unclonable Functions with Hyperspectral Imaging System for Ultrafast Storage and Authentication Enabled by Random Structural Color Domains.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Dual-space visible light authentication toward high security physical unclonable function.Nature communications · 2026Article
- Solvent-triggered reconfiguration of optical physical unclonable functions.Nature communications · 2026Article
- Information Security with Smart Hydrogels: Photo-Patterning and Multi-Stimuli Responsive Structural Color.Nano-micro letters · 2026Article
- Designing Physical Unclonable Functions From Optically Active Materials.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Multi-Level Optical Physical Unclonable Function Based on Random Surface Scattering for Hierarchical Cryptographic Protocols.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Time-dependent physical unclonable functions by long-lived triplet excitons in carbon dots.Light, science & applications · 2025Article
- Physical Unclonable Functions with Hyperspectral Imaging System for Ultrafast Storage and Authentication Enabled by Random Structural Color Domains.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Physical unclonable function (PUF) is attractive in modern encryption technologies. Addressing the disadvantage of slow data storage/authentication in optical PUF is paramount for practical applications but remains an on-going challenge. Here, a highly efficient PUF strategy based on random structural color domains (SCDs) of cellulose nanocrystal (CNC) is proposed for the first time, combing with hyperspectral imaging system (HIS) for ultrafast storage and authentication. By controlling the growth and fusion behavior of the tactoids of CNC, the SCDs display an irregular and random distribution of colors, shapes, sizes, and reflectance spectra, which grant unique and inherent fingerprint-like characteristics that are non-duplicated. Based on images and spectra, these fingerprint features are used to develop two sets of PUF key generation methods, which can be respectively authenticated at the user-end and the manufacturer-front-end that achieving a high coding capacity of at least 2
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Registered trials
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