Donglin Yuan , Xianrui Meng , Ying Liu , Manman Zhang , Chiyu Wang , Ke Yuan , Shunfei Qiang , Wenkai Zhang , Dun Liu
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引用次数: 0
Abstract
Physical unclonable functions (PUFs) have gained widespread adoption for secure authentication, yet existing systems often face challenges related to cost, complexity, and scalability. This study introduces a novel holographic physical unclonable function (HPUF) based on electrospun nanofiber membranes (ESNFs), which integrates plasmonic gratings with the inherent randomness and robustness of ESNFs. Efficient conformal printing of gratings onto ESNF membranes was achieved by combining the rapid self-assembly of silver nanocubes with microstructured transfer printing. The HPUF system demonstrated high diffraction efficiency (up to 37 %) and exceptional key space security, with a key size of approximately 2384. The generated HPUF patterns passed 13 NIST randomness tests without post-processing, confirming their suitability for cryptographic applications. Furthermore, the HPUF exhibited excellent stability, with high reproducibility across 40 challenge-response cycles. This work presents a high-efficiency, scalable, and visually distinctive solution for secure anti-counterfeiting and cryptographic applications, with potential for integration into various materials.
期刊介绍:
Optical Materials has an open access mirror journal Optical Materials: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
The purpose of Optical Materials is to provide a means of communication and technology transfer between researchers who are interested in materials for potential device applications. The journal publishes original papers and review articles on the design, synthesis, characterisation and applications of optical materials.
OPTICAL MATERIALS focuses on:
• Optical Properties of Material Systems;
• The Materials Aspects of Optical Phenomena;
• The Materials Aspects of Devices and Applications.
Authors can submit separate research elements describing their data to Data in Brief and methods to Methods X.