Publication: S3: An AI-Enabled User Continuous Authentication for Smartphones Based on Sensors, Statistics and Speaker Information
S3: An AI-Enabled User Continuous Authentication for Smartphones Based on Sensors, Statistics and Speaker Information
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Lopéz, J. M. E., Huertas Celdrán, A., Marín-Blázquez, J. G., Esquembre, F., & Pérez, G. M. (2021). S3: An AI-Enabled User Continuous Authentication for Smartphones Based on Sensors, Statistics and Speaker Information. Sensors, 21(11), 3765. https://doi.org/10.3390/s21113765
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Abstract
Continuous authentication systems have been proposed as a promising solution to authenticate users in smartphones in a non-intrusive way. However, current systems have important weaknesses related to the amount of data or time needed to build precise user profiles, together with high rates of false alerts. Voice is a powerful dimension for identifying subjects but its suitability and importance have not been deeply analyzed regarding its inclusion in continuous authentication systems. This work presents the S3 platform, an artificial
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- Lopéz, Juan M Espin
- Huertas Celdrán, Alberto
- Marín-Blázquez, Javier G
- Esquembre, Francisco
- Pérez, Gregorio Martínez
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Lopéz, J. M. E., Huertas Celdrán, A., Marín-Blázquez, J. G., Esquembre, F., & Pérez, G. M. (2021). S3: An AI-Enabled User Continuous Authentication for Smartphones Based on Sensors, Statistics and Speaker Information. Sensors, 21(11), 3765. https://doi.org/10.3390/s21113765
