Voice and face interaction evaluation of a mobile authentication platform
Voice and face interaction evaluation of a mobile authentication platform
Biometric authentication in mobile devices has become a key aspect of application security. However, the use of dedicated sensors such as fingerprint/iris sensors may not always be feasible. As an alternative, the use of face and voice biometrics using the generic sensors integrated in smartphones is gaining momentum. This work applied the HBSI framework to analyise the user?s interaction with the mobile PIDaaS platform that integrates voice and face authentication. Our analysis enables a thorough comparison between the user?s interaction for these two modalities with the same population.
Biometrics, Evaluation, Interaction, Mobile, Usability, Voice, Face
Miguel-Hurtado, Oscar
57a8ef90-e39d-4731-a271-0399d7201d34
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Lunerti, Chiara
12ff8320-25c9-4499-9773-d5f629d87d21
Miguel-Hurtado, Oscar
57a8ef90-e39d-4731-a271-0399d7201d34
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Lunerti, Chiara
12ff8320-25c9-4499-9773-d5f629d87d21
Miguel-Hurtado, Oscar, Guest, Richard and Lunerti, Chiara
(2017)
Voice and face interaction evaluation of a mobile authentication platform.
In 2017 International Carnahan Conference on Security Technology (ICCST).
IEEE.
6 pp
.
(doi:10.1109/CCST.2017.8167860).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Biometric authentication in mobile devices has become a key aspect of application security. However, the use of dedicated sensors such as fingerprint/iris sensors may not always be feasible. As an alternative, the use of face and voice biometrics using the generic sensors integrated in smartphones is gaining momentum. This work applied the HBSI framework to analyise the user?s interaction with the mobile PIDaaS platform that integrates voice and face authentication. Our analysis enables a thorough comparison between the user?s interaction for these two modalities with the same population.
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More information
e-pub ahead of print date: 7 December 2017
Venue - Dates:
2017 International Carnahan Conference on Security Technology, , Madrid, Spain, 2017-10-26 - 2017-10-26
Keywords:
Biometrics, Evaluation, Interaction, Mobile, Usability, Voice, Face
Identifiers
Local EPrints ID: 489712
URI: http://eprints.soton.ac.uk/id/eprint/489712
PURE UUID: 4e27c365-3388-4aec-883d-4d0f58f25340
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Date deposited: 30 Apr 2024 17:01
Last modified: 01 May 2024 02:10
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Contributors
Author:
Oscar Miguel-Hurtado
Author:
Richard Guest
Author:
Chiara Lunerti
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