Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review
1
Institute of Physical and Information Technologies (ITEFI), Spanish National Research Council (CSIC), C/Serrano 144, 28006 Madrid, Spain
2
Computer Security Lab (COSEC), Universidad Carlos III de Madrid, 28911 Madrid, Spain
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(1), 92; https://doi.org/10.3390/s21010092
Received: 18 November 2020
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Revised: 18 December 2020
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Accepted: 22 December 2020
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Published: 25 December 2020
(This article belongs to the Special Issue Cryptography and Information Security in Wireless Sensor Networks)
Ensuring the confidentiality of private data stored in our technological devices is a fundamental aspect for protecting our personal and professional information. Authentication procedures are among the main methods used to achieve this protection and, typically, are implemented only when accessing the device. Nevertheless, in many occasions it is necessary to carry out user authentication in a continuous manner to guarantee an allowed use of the device while protecting authentication data. In this work, we first review the state of the art of Continuous Authentication (CA), User Profiling (UP), and related biometric databases. Secondly, we summarize the privacy-preserving methods employed to protect the security of sensor-based data used to conduct user authentication, and some practical examples of their utilization. The analysis of the literature of these topics reveals the importance of sensor-based data to protect personal and professional information, as well as the need for exploring a combination of more biometric features with privacy-preserving approaches.
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Keywords:
biometric databases; biometric features; continuous authentication; machine learning; privacy-preserving; sensor-based data; user profiling
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MDPI and ACS Style
Hernández-Álvarez, L.; de Fuentes, J.M.; González-Manzano, L.; Hernández Encinas, L. Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review. Sensors 2021, 21, 92. https://doi.org/10.3390/s21010092
AMA Style
Hernández-Álvarez L, de Fuentes JM, González-Manzano L, Hernández Encinas L. Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review. Sensors. 2021; 21(1):92. https://doi.org/10.3390/s21010092
Chicago/Turabian StyleHernández-Álvarez, Luis, José M. de Fuentes, Lorena González-Manzano, and Luis Hernández Encinas. 2021. "Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review" Sensors 21, no. 1: 92. https://doi.org/10.3390/s21010092
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