Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps

Detalhes bibliográficos
Autor(a) principal: Souza, Daniel
Data de Publicação: 2017
Outros Autores: Bulamarqui, Aquiles Medeiros Filgueira, Souza Filho, Guido
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/29749
Resumo: We propose a method to improve biometric authentication systems using a multifactor approach. For this security scheme a user authenticates successfully using a set of three characteristics related to physical, possession and knowledge factors. Besides biometric authentication representing the physical factor, we propose the use of an optical authentication technique based on two-beam interference and chaotic maps. In this sense, the seed of a chaotic map represents a user password corresponding to a knowledge factor and a resultant interferogram from optical authentication technique is used as a possession factor. The feasibility of our method is tested using numerical simulation. Moreover, key space and statistical analysis are performed to demonstrate the effectiveness of the solution
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spelling Souza, DanielBulamarqui, Aquiles Medeiros FilgueiraSouza Filho, Guido2020-07-29T14:27:28Z2020-07-29T14:27:28Z2017-01-28SOUZA, Daniel; BURLAMAQUI, Aquiles; SOUZA FILHO, Guido. Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps. Multimedia Tools And Applications, [s.l.], v. 77, n. 2, p. 2013-2032, 28 jan. 2017. Disponível em: https://link.springer.com/article/10.1007%2Fs11042-017-4374-x. Acesso em: 28 jul. 2020. http://dx.doi.org/10.1007/s11042-017-4374-x1573-7721https://repositorio.ufrn.br/jspui/handle/123456789/2974910.1007/s11042-017-4374-x.SpringerAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessMulti-factor authenticationBiometric authenticationTwo-beam interferenceChaotic mapsImproving biometrics authentication with a multi-factor approach based on optical interference and chaotic mapsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleWe propose a method to improve biometric authentication systems using a multifactor approach. For this security scheme a user authenticates successfully using a set of three characteristics related to physical, possession and knowledge factors. Besides biometric authentication representing the physical factor, we propose the use of an optical authentication technique based on two-beam interference and chaotic maps. In this sense, the seed of a chaotic map represents a user password corresponding to a knowledge factor and a resultant interferogram from optical authentication technique is used as a possession factor. The feasibility of our method is tested using numerical simulation. Moreover, key space and statistical analysis are performed to demonstrate the effectiveness of the solutionengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALImprovingBiometricsAuthentication_BULAMARQUI_2017.pdfImprovingBiometricsAuthentication_BULAMARQUI_2017.pdfArtigoapplication/pdf4809391https://repositorio.ufrn.br/bitstream/123456789/29749/1/ImprovingBiometricsAuthentication_BULAMARQUI_2017.pdfd6275c6a9a8b1703df86f43afeeed8b2MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/29749/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/29749/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTImprovingBiometricsAuthentication_BULAMARQUI_2017.pdf.txtImprovingBiometricsAuthentication_BULAMARQUI_2017.pdf.txtExtracted texttext/plain47006https://repositorio.ufrn.br/bitstream/123456789/29749/4/ImprovingBiometricsAuthentication_BULAMARQUI_2017.pdf.txtdfe2aef73199ff4c11376eb41bfccb9fMD54THUMBNAILImprovingBiometricsAuthentication_BULAMARQUI_2017.pdf.jpgImprovingBiometricsAuthentication_BULAMARQUI_2017.pdf.jpgGenerated Thumbnailimage/jpeg1463https://repositorio.ufrn.br/bitstream/123456789/29749/5/ImprovingBiometricsAuthentication_BULAMARQUI_2017.pdf.jpg5e67032d0cecfc0c2203f8c5d87525e7MD55123456789/297492020-08-02 04:54:40.823oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2020-08-02T07:54:40Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps
title Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps
spellingShingle Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps
Souza, Daniel
Multi-factor authentication
Biometric authentication
Two-beam interference
Chaotic maps
title_short Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps
title_full Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps
title_fullStr Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps
title_full_unstemmed Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps
title_sort Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps
author Souza, Daniel
author_facet Souza, Daniel
Bulamarqui, Aquiles Medeiros Filgueira
Souza Filho, Guido
author_role author
author2 Bulamarqui, Aquiles Medeiros Filgueira
Souza Filho, Guido
author2_role author
author
dc.contributor.author.fl_str_mv Souza, Daniel
Bulamarqui, Aquiles Medeiros Filgueira
Souza Filho, Guido
dc.subject.por.fl_str_mv Multi-factor authentication
Biometric authentication
Two-beam interference
Chaotic maps
topic Multi-factor authentication
Biometric authentication
Two-beam interference
Chaotic maps
description We propose a method to improve biometric authentication systems using a multifactor approach. For this security scheme a user authenticates successfully using a set of three characteristics related to physical, possession and knowledge factors. Besides biometric authentication representing the physical factor, we propose the use of an optical authentication technique based on two-beam interference and chaotic maps. In this sense, the seed of a chaotic map represents a user password corresponding to a knowledge factor and a resultant interferogram from optical authentication technique is used as a possession factor. The feasibility of our method is tested using numerical simulation. Moreover, key space and statistical analysis are performed to demonstrate the effectiveness of the solution
publishDate 2017
dc.date.issued.fl_str_mv 2017-01-28
dc.date.accessioned.fl_str_mv 2020-07-29T14:27:28Z
dc.date.available.fl_str_mv 2020-07-29T14:27:28Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv SOUZA, Daniel; BURLAMAQUI, Aquiles; SOUZA FILHO, Guido. Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps. Multimedia Tools And Applications, [s.l.], v. 77, n. 2, p. 2013-2032, 28 jan. 2017. Disponível em: https://link.springer.com/article/10.1007%2Fs11042-017-4374-x. Acesso em: 28 jul. 2020. http://dx.doi.org/10.1007/s11042-017-4374-x
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/jspui/handle/123456789/29749
dc.identifier.issn.none.fl_str_mv 1573-7721
dc.identifier.doi.none.fl_str_mv 10.1007/s11042-017-4374-x.
identifier_str_mv SOUZA, Daniel; BURLAMAQUI, Aquiles; SOUZA FILHO, Guido. Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps. Multimedia Tools And Applications, [s.l.], v. 77, n. 2, p. 2013-2032, 28 jan. 2017. Disponível em: https://link.springer.com/article/10.1007%2Fs11042-017-4374-x. Acesso em: 28 jul. 2020. http://dx.doi.org/10.1007/s11042-017-4374-x
1573-7721
10.1007/s11042-017-4374-x.
url https://repositorio.ufrn.br/jspui/handle/123456789/29749
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
instacron_str UFRN
institution UFRN
reponame_str Repositório Institucional da UFRN
collection Repositório Institucional da UFRN
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