Please use this identifier to cite or link to this item: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1711
Title: Multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition
Authors: Nematollahi, Mohammad Ali
Gamboa Rosales, Hamurabi
Martínez Ruíz, Francisco Javier
De la Rosa Vargas, José Ismael
R. Al-Haddad, S.A.
Esmaeilpour, Mansour
Issue Date: Mar-2017
Publisher: Springer
Abstract: In this paper, a Multi-Factor Authentication (MFA) method is developed by a combination of Personal Identification Number (PIN), One Time Password (OTP), and speaker biometric through the speech watermarks. For this reason, a multipurpose digital speech watermarking applied to embed semi-fragile and robust watermarks simultaneously in the speech signal, respectively to provide tamper detection and proof of ownership. Similarly, the blind semi-fragile speech watermarking technique, Discrete Wavelet Packet Transform (DWPT) and Quantization Index Modulation (QIM) are used to embed the watermark in an angle of the wavelet’s sub-bands where more speaker specific information is available.
URI: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1711
https://doi.org/10.48779/nsng-kq12
ISSN: 1380-7501
1573-7721
Other Identifiers: info:eu-repo/semantics/publishedVersion
Appears in Collections:*Documentos Académicos*-- M. en Ciencias del Proc. de la Info.

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