Publication: A Supervised ML Biometric Continuous Authentication System for Industry 4.0
A Supervised ML Biometric Continuous Authentication System for Industry 4.0
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Espin López, J. M., Huertas Celdrán, A., Esquembre, F., Pérez, G. M., & Marín-Blázquez, J. G. (2022). A Supervised ML Biometric Continuous Authentication System for Industry 4.0. IEEE Transactions on Industrial Informatics, 18(12), 9132–9140. https://doi.org/10.1109/TII.2022.3171321
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Continuous authentication (CA) is a promising approach to authenticate workers and avoid security breaches in the industry, especially in Industry 4.0, where most interaction between workers and devices takes place. However, introducing CA in industries raises the following unsolved questions regarding machine learning (ML) models: its precision and performance; its robustness; and the issue about if or when to retrain the models. To answer these questions, this article explores these issues with a proposed supervised versus nonsuperv
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- Espin López, Juan M
- Esquembre, Francisco
- Pérez, Gregorio Martínez
- Marín-Blázquez, Javier G
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Citations
Espin López, J. M., Huertas Celdrán, A., Esquembre, F., Pérez, G. M., & Marín-Blázquez, J. G. (2022). A Supervised ML Biometric Continuous Authentication System for Industry 4.0. IEEE Transactions on Industrial Informatics, 18(12), 9132–9140. https://doi.org/10.1109/TII.2022.3171321
