Concealable Physically Unclonable Functions via Wetting‐Driven Tunable Opacity in Smart Nanofibrous Mats

The concealing of uniquely identifiable information is pertinent to both anti-counterfeiting and information security technologies. Current optical physically unclonable functions (PUFs) are based on static stochastic features that make them inherently vulnerable to undesired tampering. This study proposes wetting induced transparency variations in a smart material platform consisting of a stimulus-responsive nanofibrous layer doped with quantum dots (QDs). The platform combines two forms of electrohydrodynamic instabilities through the deposition of QDs via electrospraying, and generation of entangled nanofibers of polyacrylonitrile via electrospinning. Upon wetting, the contrast of the refractive indices is temporarily reduced, which decreases scattering and allows access to the underlying fluorescent QD features. After the solvent has evaporated, the mat returns to its opaque, scattering state and again conceals the PUF response. When the image is captured, it becomes a 256-bit cryptographic key of high uniformity, uniqueness, and randomness. The stochastic QD distribution and nanofiber architecture concealement together ensure strong, physically unclonable optical fingerprints. By confining the readout to a controlled physical condition that arises only during wetting, the platform adds a concealment-based security dimension in which the revealed features can be reproducibly read while remaining inaccessible under ambient conditions.

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Publication Details

Journal
Small
Published
2026-09-25
DOI
https://doi.org/10.1002/smll.75907
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
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Concealable Physically Unclonable Functions via Wetting‐Driven Tunable Opacity in Smart Nanofibrous Mats

Mustafa Kalay, N. Burak Kiremitler, M. Serdar Önses, Moonsub Shim et al.
Small
Physical Unclonable Functions (PUFs) and Hardware Security
article

Concealable Physically Unclonable Functions via Wetting‐Driven Tunable Opacity in Smart Nanofibrous Mats

Mustafa Kalay, N. Burak Kiremitler, M. Serdar Önses, Moonsub Shim, Ilker Torun, Cemile Janset Cakar
article en

Abstract

The concealing of uniquely identifiable information is pertinent to both anti-counterfeiting and information security technologies. Current optical physically unclonable functions (PUFs) are based on static stochastic features that make them inherently vulnerable to undesired tampering. This study proposes wetting induced transparency variations in a smart material platform consisting of a stimulus-responsive nanofibrous layer doped with quantum dots (QDs). The platform combines two forms of electrohydrodynamic instabilities through the deposition of QDs via electrospraying, and generation of entangled nanofibers of polyacrylonitrile via electrospinning. Upon wetting, the contrast of the refractive indices is temporarily reduced, which decreases scattering and allows access to the underlying fluorescent QD features. After the solvent has evaporated, the mat returns to its opaque, scattering state and again conceals the PUF response. When the image is captured, it becomes a 256-bit cryptographic key of high uniformity, uniqueness, and randomness. The stochastic QD distribution and nanofiber architecture concealement together ensure strong, physically unclonable optical fingerprints. By confining the readout to a controlled physical condition that arises only during wetting, the platform adds a concealment-based security dimension in which the revealed features can be reproducibly read while remaining inaccessible under ambient conditions.

Small
University of Illinois Urbana-Champaign (US), Kayseri Eğitim ve Araştırma Hastanesi (TR), Erciyes University (TR)
Openalex Percentile: Top 6%
Physical Unclonable Functions (PUFs) and Hardware Security
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Concealable Physically Unclonable Functions via Wetting‐Driven Tunable Opacity in Smart Nanofibrous Mats — Mustafa Kalay, N. Burak Kiremitler, et al. · Small (2026) | TGRS Research Map | TGRS