Enhancing Web Application Security: Advanced Biometric Voice Verification for Two-Factor Authentication

This paper presents a voice biometrics system implemented in a web application as part of a two-factor authentication (2FA) user login. The web-based application, via a client interface, runs registration, preprocessing, feature extraction and normalization, classification, and speaker verification...

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Bibliographic Details
Published in:Electronics (Basel) 2023-09, Vol.12 (18), p.3791
Main Authors: Kamiński, Kamil Adam, Dobrowolski, Andrzej Piotr, Piotrowski, Zbigniew, Ścibiorek, Przemysław
Format: Article
Language:English
Subjects:
Access control
Algorithms
Applications programs
Authentication
Biometrics
Data security
Decision making
Feature extraction
Methods
Neural networks
Passwords
Probabilistic models
Safety and security measures
Speech
Speech recognition
Verification
Voiceprints
Web applications
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Summary:This paper presents a voice biometrics system implemented in a web application as part of a two-factor authentication (2FA) user login. The web-based application, via a client interface, runs registration, preprocessing, feature extraction and normalization, classification, and speaker verification procedures based on a modified Gaussian mixture model (GMM) algorithm adapted to the application requirements. The article describes in detail the internal modules of this ASR (Automatic Speaker Recognition) system. A comparison of the performance of competing ASR systems using the commercial NIST 2002 SRE voice dataset tested under the same conditions is also presented. In addition, it presents the results of the influence of the application of cepstral mean and variance normalization over a sliding window (WCMVN) and its relevance, especially for voice recordings recorded in varying acoustic tracks. The article also presents the results of the selection of a reference model representing an alternative hypothesis in the decision-making system, which significantly translates into an increase in the effectiveness of speaker verification. The final experiment presented is a test of the performance achieved in a varying acoustic environment during remote voice login to a web portal by the test group, as well as a final adjustment of the decision-making threshold.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics12183791