Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/1/92 |
| _version_ | 1797543475639484416 |
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| author | Luis Hernández-Álvarez José María de Fuentes Lorena González-Manzano Luis Hernández Encinas |
| author_facet | Luis Hernández-Álvarez José María de Fuentes Lorena González-Manzano Luis Hernández Encinas |
| author_sort | Luis Hernández-Álvarez |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T13:46:07Z |
| format | Article |
| id | doaj.art-0a56cf0b40534767b984c4b9c3f90fd5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T13:46:07Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-0a56cf0b40534767b984c4b9c3f90fd52023-11-21T02:35:50ZengMDPI AGSensors1424-82202020-12-012119210.3390/s21010092Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A ReviewLuis Hernández-Álvarez0José María de Fuentes1Lorena González-Manzano2Luis Hernández Encinas3Institute of Physical and Information Technologies (ITEFI), Spanish National Research Council (CSIC), C/Serrano 144, 28006 Madrid, SpainComputer Security Lab (COSEC), Universidad Carlos III de Madrid, 28911 Madrid, SpainComputer Security Lab (COSEC), Universidad Carlos III de Madrid, 28911 Madrid, SpainInstitute of Physical and Information Technologies (ITEFI), Spanish National Research Council (CSIC), C/Serrano 144, 28006 Madrid, SpainEnsuring 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.https://www.mdpi.com/1424-8220/21/1/92biometric databasesbiometric featurescontinuous authenticationmachine learningprivacy-preservingsensor-based data |
| spellingShingle | Luis Hernández-Álvarez José María de Fuentes Lorena González-Manzano Luis Hernández Encinas Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review Sensors biometric databases biometric features continuous authentication machine learning privacy-preserving sensor-based data |
| title | Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review |
| title_full | Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review |
| title_fullStr | Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review |
| title_full_unstemmed | Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review |
| title_short | Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review |
| title_sort | privacy preserving sensor based continuous authentication and user profiling a review |
| topic | biometric databases biometric features continuous authentication machine learning privacy-preserving sensor-based data |
| url | https://www.mdpi.com/1424-8220/21/1/92 |
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