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

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dc.contributor.authorPark, Taehyun-
dc.contributor.authorKim, Junhyung-
dc.contributor.authorKo, Raksan-
dc.contributor.authorPark, Byullee-
dc.contributor.authorYoo, Hocheon-
dc.date.accessioned2025-09-09T03:00:12Z-
dc.date.available2025-09-09T03:00:12Z-
dc.date.issued2025-08-
dc.identifier.issn2041-1723-
dc.identifier.issn2041-1723-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/208682-
dc.description.abstractWe 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.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherNature Publishing Group-
dc.titleLight in, sound keys out: photoacoustic PUFs from stochastic nanocomposites-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1038/s41467-025-62747-1-
dc.identifier.scopusid2-s2.0-105012854184-
dc.identifier.wosid001549206500012-
dc.identifier.bibliographicCitationNature Communications, v.16, no.1, pp 1 - 11-
dc.citation.titleNature Communications-
dc.citation.volume16-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage11-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.subject.keywordPluscopper oxide-
dc.subject.keywordPlusnanocomposite-
dc.subject.keywordPlusnanoparticle-
dc.subject.keywordPlustin oxide-
dc.subject.keywordAuthorCopper Oxide-
dc.subject.keywordAuthorTin Oxide-
dc.subject.keywordAuthorCopper Oxide-
dc.subject.keywordAuthorNanocomposite-
dc.subject.keywordAuthorNanoparticle-
dc.subject.keywordAuthorTin Oxide-
dc.subject.keywordAuthorAcoustic Wave-
dc.subject.keywordAuthorHeating-
dc.subject.keywordAuthorInstrumentation-
dc.subject.keywordAuthorRegression Analysis-
dc.subject.keywordAuthorArticle-
dc.subject.keywordAuthorControlled Study-
dc.subject.keywordAuthorCryptography-
dc.subject.keywordAuthorMachine Learning-
dc.subject.keywordAuthorPhotoacoustics-
dc.subject.keywordAuthorSupport Vector Machine-
dc.subject.keywordAuthorArticle-
dc.subject.keywordAuthorEntropy-
dc.subject.keywordAuthorHuman-
dc.subject.keywordAuthorLaser-
dc.subject.keywordAuthorLight-
dc.subject.keywordAuthorLogistic Regression Analysis-
dc.subject.keywordAuthorPrediction-
dc.subject.keywordAuthorSound-
dc.identifier.urlhttps://www.nature.com/articles/s41467-025-62747-1-
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