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Light in, sound keys out: photoacoustic PUFs from stochastic nanocompositesopen access

Authors
Park, TaehyunKim, JunhyungKo, RaksanPark, ByulleeYoo, Hocheon
Issue Date
Aug-2025
Publisher
Nature Publishing Group
Keywords
Copper Oxide; Tin Oxide; Copper Oxide; Nanocomposite; Nanoparticle; Tin Oxide; Acoustic Wave; Heating; Instrumentation; Regression Analysis; Article; Controlled Study; Cryptography; Machine Learning; Photoacoustics; Support Vector Machine; Article; Entropy; Human; Laser; Light; Logistic Regression Analysis; Prediction; Sound
Citation
Nature Communications, v.16, no.1, pp 1 - 11
Pages
11
Indexed
SCIE
SCOPUS
Journal Title
Nature Communications
Volume
16
Number
1
Start Page
1
End Page
11
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/208682
DOI
10.1038/s41467-025-62747-1
ISSN
2041-1723
2041-1723
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.
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