A Personalized User Authentication System Based on EEG Signals

A Personalized User Authentication System Based on EEG Signals

Conventional biometrics have been employed in high-security user-authentication systems for over 20 years now. However, some of these modalities face low-security issues in common practice. Brainwave-based user authentication has emerged as a promising alternative method, as it overcomes some of the...

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Bibliographic Details
Main Authors: Christos Stergiadis, Vasiliki-Despoina Kostaridou, Simos Veloudis, Dimitrios Kazis, Manousos A. Klados
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
biometrics
EEG
security
user authentication
machine learning
applied neuroscience
Online Access:https://www.mdpi.com/1424-8220/22/18/6929

Internet

https://www.mdpi.com/1424-8220/22/18/6929

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