Multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition

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...

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Main Authors: Nematollahi, Mohammad Ali, Rosales, Hamurabi Gamboa, Martinez-Ruiz, Francisco Javier, Rosa-Vargas, Jose Ismael De la, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Esmaeilpour, Mansour
Format: Article
Language:English
Published: Springer 2017
Online Access:http://psasir.upm.edu.my/id/eprint/56563/1/Multi-factor%20authentication%20model%20based%20on%20multipurpose%20speech%20watermarking%20and%20online%20speaker%20recognition.pdf
http://psasir.upm.edu.my/id/eprint/56563/
https://rd.springer.com/article/10.1007/s11042-016-3350-1
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spelling my.upm.eprints.565632017-08-03T04:04:29Z http://psasir.upm.edu.my/id/eprint/56563/ Multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition Nematollahi, Mohammad Ali Rosales, Hamurabi Gamboa Martinez-Ruiz, Francisco Javier Rosa-Vargas, Jose Ismael De la Syed Mohamed, Syed Abdul Rahman Al-Haddad Esmaeilpour, Mansour 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. For copyright protection of the speech, a blind and robust speech watermarking are used by applying DWPT and multiplication. Where less speaker specific information is available the robust watermark is embedded through manipulating the amplitude of the wavelet’s sub-bands. Experimental results on TIMIT, MIT, and MOBIO demonstrate that there is a trade-off among recognition performance of speaker recognition systems, robustness, and capacity which are presented by various triangles. Furthermore, threat model and attack analysis are used to evaluate the feasibility of the developed MFA model. Accordingly, the developed MFA model is able to enhance the security of the systems against spoofing and communication attacks while improving the recognition performance via solving problems and overcoming limitations. Springer 2017 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56563/1/Multi-factor%20authentication%20model%20based%20on%20multipurpose%20speech%20watermarking%20and%20online%20speaker%20recognition.pdf Nematollahi, Mohammad Ali and Rosales, Hamurabi Gamboa and Martinez-Ruiz, Francisco Javier and Rosa-Vargas, Jose Ismael De la and Syed Mohamed, Syed Abdul Rahman Al-Haddad and Esmaeilpour, Mansour (2017) Multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition. Multimedia Tools and Applications, 76 (5). pp. 7251-7281. ISSN 1380-7501; ESSN: 1573-7721 https://rd.springer.com/article/10.1007/s11042-016-3350-1 10.1007/s11042-016-3350-1
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description 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. For copyright protection of the speech, a blind and robust speech watermarking are used by applying DWPT and multiplication. Where less speaker specific information is available the robust watermark is embedded through manipulating the amplitude of the wavelet’s sub-bands. Experimental results on TIMIT, MIT, and MOBIO demonstrate that there is a trade-off among recognition performance of speaker recognition systems, robustness, and capacity which are presented by various triangles. Furthermore, threat model and attack analysis are used to evaluate the feasibility of the developed MFA model. Accordingly, the developed MFA model is able to enhance the security of the systems against spoofing and communication attacks while improving the recognition performance via solving problems and overcoming limitations.
format Article
author Nematollahi, Mohammad Ali
Rosales, Hamurabi Gamboa
Martinez-Ruiz, Francisco Javier
Rosa-Vargas, Jose Ismael De la
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Esmaeilpour, Mansour
spellingShingle Nematollahi, Mohammad Ali
Rosales, Hamurabi Gamboa
Martinez-Ruiz, Francisco Javier
Rosa-Vargas, Jose Ismael De la
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Esmaeilpour, Mansour
Multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition
author_facet Nematollahi, Mohammad Ali
Rosales, Hamurabi Gamboa
Martinez-Ruiz, Francisco Javier
Rosa-Vargas, Jose Ismael De la
Syed Mohamed, Syed Abdul Rahman Al-Haddad
Esmaeilpour, Mansour
author_sort Nematollahi, Mohammad Ali
title Multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition
title_short Multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition
title_full Multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition
title_fullStr Multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition
title_full_unstemmed Multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition
title_sort multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition
publisher Springer
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/56563/1/Multi-factor%20authentication%20model%20based%20on%20multipurpose%20speech%20watermarking%20and%20online%20speaker%20recognition.pdf
http://psasir.upm.edu.my/id/eprint/56563/
https://rd.springer.com/article/10.1007/s11042-016-3350-1
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