An Efficient and Privacy-Preserving Biometric Identification Scheme Based on the FITing-Tree

Biometric identification services have been applied to almost all aspects of life. However, how to securely and efficiently identify an individual in a huge biometric dataset is still very challenging. For one thing, biometric data is very sensitive and should be kept secure during the process of bi...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xiaopeng Yang, Hui Zhu, Songnian Zhang, Rongxing Lu, Xuesong Gao
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology (General) T1-995 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/c8bccd3be65b4afeb12d5f98f015307a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c8bccd3be65b4afeb12d5f98f015307a
record_format	dspace
spelling	oai:doaj.org-article:c8bccd3be65b4afeb12d5f98f015307a2021-11-08T02:35:50ZAn Efficient and Privacy-Preserving Biometric Identification Scheme Based on the FITing-Tree1939-012210.1155/2021/2313389https://doaj.org/article/c8bccd3be65b4afeb12d5f98f015307a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2313389https://doaj.org/toc/1939-0122Biometric identification services have been applied to almost all aspects of life. However, how to securely and efficiently identify an individual in a huge biometric dataset is still very challenging. For one thing, biometric data is very sensitive and should be kept secure during the process of biometric identification. On the other hand, searching a biometric template in a large dataset can be very time-consuming, especially when some privacy-preserving measures are adopted. To address this problem, we propose an efficient and privacy-preserving biometric identification scheme based on the FITing-tree, iDistance, and a symmetric homomorphic encryption (SHE) scheme with two cloud servers. With our proposed scheme, the privacy of the user’s identification request and service provider’s dataset is guaranteed, while the computational costs of the cloud servers in searching the biometric dataset can be kept at an acceptable level. Detailed security analysis shows that the privacy of both the biometric dataset and biometric identification request is well protected during the identification service. In addition, we implement our proposed scheme and compare it to a previously reported M-Tree based privacy-preserving identification scheme in terms of computational and communication costs. Experimental results demonstrate that our proposed scheme is indeed efficient in terms of computational and communication costs while identifying a biometric template in a large dataset.Xiaopeng YangHui ZhuSongnian ZhangRongxing LuXuesong GaoHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995 Science (General) Q1-390
spellingShingle	Technology (General) T1-995 Science (General) Q1-390 Xiaopeng Yang Hui Zhu Songnian Zhang Rongxing Lu Xuesong Gao An Efficient and Privacy-Preserving Biometric Identification Scheme Based on the FITing-Tree
description	Biometric identification services have been applied to almost all aspects of life. However, how to securely and efficiently identify an individual in a huge biometric dataset is still very challenging. For one thing, biometric data is very sensitive and should be kept secure during the process of biometric identification. On the other hand, searching a biometric template in a large dataset can be very time-consuming, especially when some privacy-preserving measures are adopted. To address this problem, we propose an efficient and privacy-preserving biometric identification scheme based on the FITing-tree, iDistance, and a symmetric homomorphic encryption (SHE) scheme with two cloud servers. With our proposed scheme, the privacy of the user’s identification request and service provider’s dataset is guaranteed, while the computational costs of the cloud servers in searching the biometric dataset can be kept at an acceptable level. Detailed security analysis shows that the privacy of both the biometric dataset and biometric identification request is well protected during the identification service. In addition, we implement our proposed scheme and compare it to a previously reported M-Tree based privacy-preserving identification scheme in terms of computational and communication costs. Experimental results demonstrate that our proposed scheme is indeed efficient in terms of computational and communication costs while identifying a biometric template in a large dataset.
format	article
author	Xiaopeng Yang Hui Zhu Songnian Zhang Rongxing Lu Xuesong Gao
author_facet	Xiaopeng Yang Hui Zhu Songnian Zhang Rongxing Lu Xuesong Gao
author_sort	Xiaopeng Yang
title	An Efficient and Privacy-Preserving Biometric Identification Scheme Based on the FITing-Tree
title_short	An Efficient and Privacy-Preserving Biometric Identification Scheme Based on the FITing-Tree
title_full	An Efficient and Privacy-Preserving Biometric Identification Scheme Based on the FITing-Tree
title_fullStr	An Efficient and Privacy-Preserving Biometric Identification Scheme Based on the FITing-Tree
title_full_unstemmed	An Efficient and Privacy-Preserving Biometric Identification Scheme Based on the FITing-Tree
title_sort	efficient and privacy-preserving biometric identification scheme based on the fiting-tree
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/c8bccd3be65b4afeb12d5f98f015307a
work_keys_str_mv	AT xiaopengyang anefficientandprivacypreservingbiometricidentificationschemebasedonthefitingtree AT huizhu anefficientandprivacypreservingbiometricidentificationschemebasedonthefitingtree AT songnianzhang anefficientandprivacypreservingbiometricidentificationschemebasedonthefitingtree AT rongxinglu anefficientandprivacypreservingbiometricidentificationschemebasedonthefitingtree AT xuesonggao anefficientandprivacypreservingbiometricidentificationschemebasedonthefitingtree AT xiaopengyang efficientandprivacypreservingbiometricidentificationschemebasedonthefitingtree AT huizhu efficientandprivacypreservingbiometricidentificationschemebasedonthefitingtree AT songnianzhang efficientandprivacypreservingbiometricidentificationschemebasedonthefitingtree AT rongxinglu efficientandprivacypreservingbiometricidentificationschemebasedonthefitingtree AT xuesonggao efficientandprivacypreservingbiometricidentificationschemebasedonthefitingtree
_version_	1718443227574435840

An Efficient and Privacy-Preserving Biometric Identification Scheme Based on the FITing-Tree

Ejemplares similares