Roulette-Inspired Physical Unclonable Functions: Stochastic yet Deterministic Multi-Bit Patterning through the Solutal Marangoni Effect

IF 19.9 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Functional Materials Pub Date : 2025-08-20 Epub Date: 2025-03-20 DOI:10.1002/adfm.202424079
Yeongin Cho, Jeongsu Pyeon, Hanhwi Jang, Gwangsik Mun, Jaimin Kang, Byong-Guk Park, Geon Yeong Kim, Hyoungsoo Kim, Yeon Sik Jung
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Abstract

Physical unclonable functions (PUFs) have emerged as a hardware-based alternative to traditional cryptographic methods, which can be vulnerable to various types of threats, including physical tampering. PUFs exploit the unique and irreproducible variations in physical hardware to generate secure and distinctive identifiers, thereby offering a layer of security. However, the inherently random nature of PUF-generate data often sacrifices reliability and accuracy. To address this dilemma, this study introduces geometric multi-bit patterning based on dynamic wetting and dewetting phenomena. This method imbues PUF labels with both stochastic and deterministic properties. This novel strategy harnesses the high degree of randomness introduced by the solutal-Marangoni effect while achieving deterministic multinary quantized patterns through the polygonal confinement of binary-mixture liquid droplets, effectively resolving the reliability issues of traditional PUFs. The controlled dewetting mechanism is elucidated using micro-particle image velocimetry (µ-PIV), which pinpointed the precise moment of symmetry breaking within the internal flows of a binary solvent mixture. This approach allows for the facile creation of highly random PUF labels arranged in periodic pixel arrays, facilitating convenient, accurate, and fast authentication. Moreover, these labels are reconfigurable, transferable to various surfaces, and can be dyed with fluorescent molecules for versatile and robust, higher-level security applications.

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受轮盘赌启发的物理不可克隆函数:通过求解马兰戈尼效应的随机但确定的多比特模式
物理不可克隆函数(puf)已经成为传统加密方法的一种基于硬件的替代方案,传统加密方法容易受到各种类型的威胁,包括物理篡改。puf利用物理硬件中独特且不可复制的变化来生成安全且独特的标识符,从而提供一层安全性。然而,puf生成数据固有的随机性往往会牺牲可靠性和准确性。为了解决这一难题,本研究引入了基于动态润湿和脱湿现象的几何多比特模式。该方法使PUF标签具有随机性和确定性。该策略利用了溶液-马兰戈尼效应带来的高度随机性,同时通过二元混合液滴的多边形约束实现了确定性的多重量化模式,有效地解决了传统puf的可靠性问题。利用微粒子图像测速技术(µ-PIV)确定了二元溶剂混合物内部流动中对称破缺的精确力矩,阐明了受控脱湿机理。这种方法允许轻松地创建排列在周期性像素数组中的高度随机的PUF标签,促进方便、准确和快速的身份验证。此外,这些标签是可重新配置的,可转移到各种表面,并且可以用荧光分子染色,用于多功能和强大的更高级别安全应用。
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来源期刊
Advanced Functional Materials
Advanced Functional Materials 工程技术-材料科学:综合
CiteScore
29.50
自引率
4.20%
发文量
2086
审稿时长
2.1 months
期刊介绍: Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week. Advanced Functional Materials is known for its rapid and fair peer review, quality content, and high impact, making it the first choice of the international materials science community.
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