Machine Learning Meets EEG: A Novel Approach to PGA-Based Authentication Systems

The development of secure and effective identification/authentication systems is an ongoing challenge in the field of computer science, as new techniques and methods continue to emerge. In the context of this ever-evolving landscape, we propose a new multi-factor authentication system. The proposed...

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Veröffentlicht in:	Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) S. 924 - 929
Hauptverfasser:	Katoikos, Ioannis, Fidas, Christos A., Koukopoulos, Dimitrios
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 18.12.2024
Schlagworte:	Authentication Brain modeling Electroencephalography Electronics packaging Feature extraction Graphical/visual passwords Human-centered computiug→ Laboratory experiments Machine learning Machine learning algorithms Multi-factor authentication Recording Security security and privacy → Biometrics Visualization
ISSN:	1946-0759
Online-Zugang:	Volltext
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