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Review on EEG-Based Authentication Technology
With the rapid development of brain-computer interface technology, as a new biometric feature, EEG signal has been widely concerned in recent years. The safety of brain-computer interface and the long-term insecurity of biometric authentication have a new solution. This review analyzes the biometric...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720016/ https://www.ncbi.nlm.nih.gov/pubmed/34976039 http://dx.doi.org/10.1155/2021/5229576 |
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author | Zhang, Shuai Sun, Lei Mao, Xiuqing Hu, Cuiyun Liu, Peiyuan |
author_facet | Zhang, Shuai Sun, Lei Mao, Xiuqing Hu, Cuiyun Liu, Peiyuan |
author_sort | Zhang, Shuai |
collection | PubMed |
description | With the rapid development of brain-computer interface technology, as a new biometric feature, EEG signal has been widely concerned in recent years. The safety of brain-computer interface and the long-term insecurity of biometric authentication have a new solution. This review analyzes the biometrics of EEG signals, and the latest research is involved in the authentication process. This review mainly introduced the method of EEG-based authentication and systematically introduced EEG-based biometric cryptosystems for authentication for the first time. In cryptography, the key is the core basis of authentication in the cryptographic system, and cryptographic technology can effectively improve the security of biometric authentication and protect biometrics. The revocability of EEG-based biometric cryptosystems is an advantage that traditional biometric authentication does not have. Finally, the existing problems and future development directions of identity authentication technology based on EEG signals are proposed, providing a reference for the related studies. |
format | Online Article Text |
id | pubmed-8720016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-87200162022-01-01 Review on EEG-Based Authentication Technology Zhang, Shuai Sun, Lei Mao, Xiuqing Hu, Cuiyun Liu, Peiyuan Comput Intell Neurosci Review Article With the rapid development of brain-computer interface technology, as a new biometric feature, EEG signal has been widely concerned in recent years. The safety of brain-computer interface and the long-term insecurity of biometric authentication have a new solution. This review analyzes the biometrics of EEG signals, and the latest research is involved in the authentication process. This review mainly introduced the method of EEG-based authentication and systematically introduced EEG-based biometric cryptosystems for authentication for the first time. In cryptography, the key is the core basis of authentication in the cryptographic system, and cryptographic technology can effectively improve the security of biometric authentication and protect biometrics. The revocability of EEG-based biometric cryptosystems is an advantage that traditional biometric authentication does not have. Finally, the existing problems and future development directions of identity authentication technology based on EEG signals are proposed, providing a reference for the related studies. Hindawi 2021-12-24 /pmc/articles/PMC8720016/ /pubmed/34976039 http://dx.doi.org/10.1155/2021/5229576 Text en Copyright © 2021 Shuai Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Zhang, Shuai Sun, Lei Mao, Xiuqing Hu, Cuiyun Liu, Peiyuan Review on EEG-Based Authentication Technology |
title | Review on EEG-Based Authentication Technology |
title_full | Review on EEG-Based Authentication Technology |
title_fullStr | Review on EEG-Based Authentication Technology |
title_full_unstemmed | Review on EEG-Based Authentication Technology |
title_short | Review on EEG-Based Authentication Technology |
title_sort | review on eeg-based authentication technology |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720016/ https://www.ncbi.nlm.nih.gov/pubmed/34976039 http://dx.doi.org/10.1155/2021/5229576 |
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