Use este identificador para citar ou linkar para este item: https://repositorio.ufrn.br/jspui/handle/123456789/29749
Título: Improving biometrics authentication with a multi-factor approach based on optical interference and chaotic maps
Autor(es): Souza, Daniel
Bulamarqui, Aquiles Medeiros Filgueira
Souza Filho, Guido
Palavras-chave: Multi-factor authentication;Biometric authentication;Two-beam interference;Chaotic maps
Data do documento: 28-Jan-2017
Editor: Springer
Referência: 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
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
URI: https://repositorio.ufrn.br/jspui/handle/123456789/29749
ISSN: 1573-7721
Aparece nas coleções:ECT - Artigos publicados em periódicos

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
ImprovingBiometricsAuthentication_BULAMARQUI_2017.pdfArtigo4,7 MBAdobe PDFThumbnail
Visualizar/Abrir


Este item está licenciada sob uma Licença Creative Commons Creative Commons