NQR sensitive embedded signatures for authenticating additively manufactured objects

Abstract Automatic recognition of unique characteristics of an object can provide a powerful solution to verify its authenticity and safety. It can mitigate the growth of one of the largest underground industries—that of counterfeit goods–flowing through the global supply chain. In this article, we...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Naren Vikram Raj Masna, Junjun Huan, Soumyajit Mandal, Swarup Bhunia
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0dcf0dd4fcbc4661b6d4c4a4e7b837c5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:0dcf0dd4fcbc4661b6d4c4a4e7b837c5
record_format	dspace
spelling	oai:doaj.org-article:0dcf0dd4fcbc4661b6d4c4a4e7b837c52021-12-02T17:34:48ZNQR sensitive embedded signatures for authenticating additively manufactured objects10.1038/s41598-021-91531-62045-2322https://doaj.org/article/0dcf0dd4fcbc4661b6d4c4a4e7b837c52021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91531-6https://doaj.org/toc/2045-2322Abstract Automatic recognition of unique characteristics of an object can provide a powerful solution to verify its authenticity and safety. It can mitigate the growth of one of the largest underground industries—that of counterfeit goods–flowing through the global supply chain. In this article, we propose the novel concept of material biometrics, in which the intrinsic chemical properties of structural materials are used to generate unique identifiers for authenticating individual products. For this purpose, the objects to be protected are modified via programmable additive manufacturing of built-in chemical “tags” that generate signatures depending on their chemical composition, quantity, and location. We report a material biometrics-enabled manufacturing flow in which plastic objects are protected using spatially-distributed tags that are optically invisible and difficult to clone. The resulting multi-bit signatures have high entropy and can be non-invasively detected for product authentication using $$^{35}$$ 35 Cl nuclear quadrupole resonance (NQR) spectroscopy.Naren Vikram Raj MasnaJunjun HuanSoumyajit MandalSwarup BhuniaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Naren Vikram Raj Masna Junjun Huan Soumyajit Mandal Swarup Bhunia NQR sensitive embedded signatures for authenticating additively manufactured objects
description	Abstract Automatic recognition of unique characteristics of an object can provide a powerful solution to verify its authenticity and safety. It can mitigate the growth of one of the largest underground industries—that of counterfeit goods–flowing through the global supply chain. In this article, we propose the novel concept of material biometrics, in which the intrinsic chemical properties of structural materials are used to generate unique identifiers for authenticating individual products. For this purpose, the objects to be protected are modified via programmable additive manufacturing of built-in chemical “tags” that generate signatures depending on their chemical composition, quantity, and location. We report a material biometrics-enabled manufacturing flow in which plastic objects are protected using spatially-distributed tags that are optically invisible and difficult to clone. The resulting multi-bit signatures have high entropy and can be non-invasively detected for product authentication using $$^{35}$$ 35 Cl nuclear quadrupole resonance (NQR) spectroscopy.
format	article
author	Naren Vikram Raj Masna Junjun Huan Soumyajit Mandal Swarup Bhunia
author_facet	Naren Vikram Raj Masna Junjun Huan Soumyajit Mandal Swarup Bhunia
author_sort	Naren Vikram Raj Masna
title	NQR sensitive embedded signatures for authenticating additively manufactured objects
title_short	NQR sensitive embedded signatures for authenticating additively manufactured objects
title_full	NQR sensitive embedded signatures for authenticating additively manufactured objects
title_fullStr	NQR sensitive embedded signatures for authenticating additively manufactured objects
title_full_unstemmed	NQR sensitive embedded signatures for authenticating additively manufactured objects
title_sort	nqr sensitive embedded signatures for authenticating additively manufactured objects
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0dcf0dd4fcbc4661b6d4c4a4e7b837c5
work_keys_str_mv	AT narenvikramrajmasna nqrsensitiveembeddedsignaturesforauthenticatingadditivelymanufacturedobjects AT junjunhuan nqrsensitiveembeddedsignaturesforauthenticatingadditivelymanufacturedobjects AT soumyajitmandal nqrsensitiveembeddedsignaturesforauthenticatingadditivelymanufacturedobjects AT swarupbhunia nqrsensitiveembeddedsignaturesforauthenticatingadditivelymanufacturedobjects
_version_	1718379922381078528

NQR sensitive embedded signatures for authenticating additively manufactured objects

Ejemplares similares