Light in, sound keys out: photoacoustic PUFs from stochastic nanocomposites

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Taehyun Park, Junhyung Kim, Raksan Ko, Byullee Park, Hocheon Yoo
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Abstract

We present a concept of physically unclonable functions utilizing the photoacoustic effect to generate structurally random, inference-resistant cryptographic keys. The system consists of a CuO/SnO₂ nanoparticle composite, where CuO acts as a visible-range absorber and SnO₂ serves as a non-absorbing dispersive matrix. Nanosecond laser pulses induce localized heating and acoustic wave emission, providing spatially heterogeneous photoacoustic signals that are digitized into binary matrices. Evaluations across ten devices yielded a bit uniformity of 49.54%, inter-device Hamming distance of 49.69%, entropy of 0.983, and bit aliasing of 49.38%—all approaching ideal values for secure key generation. Machine learning attacks using logistic regression and support vector machines failed to infer underlying patterns, with prediction accuracies of 53.53% and 52.54%. The device maintains cryptographic performance after transfer to diverse substrates, including human skin, highlighting its mechanical adaptability. This subsurface, light-to-sound-based approach offers a scalable platform for secure authentication on flexible or opaque surfaces.

Abstract Image

光进声出:随机纳米复合材料的光声puf
我们提出了一个物理不可克隆函数的概念,利用光声效应来生成结构随机,抗推理的密码密钥。该体系由CuO/SnO₂纳米颗粒复合材料组成,其中CuO作为可见光吸收剂,SnO₂作为非吸收色散基质。纳秒激光脉冲诱导局部加热和声波发射,提供空间非均匀的光声信号,并将其数字化为二进制矩阵。对10个设备的评估得出的比特均匀性为49.54%,设备间汉明距离为49.69%,熵为0.983,比特混化为49.38%——所有这些都接近安全密钥生成的理想值。使用逻辑回归和支持向量机的机器学习攻击无法推断出潜在的模式,预测准确率分别为53.53%和52.54%。该装置在转移到不同的基材(包括人体皮肤)后仍能保持加密性能,突出了其机械适应性。这种基于光到声音的地下方法为灵活或不透明表面的安全认证提供了可扩展的平台。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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