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Robust electroencephalogram-based biometric identification against GAN-generated artificial signals using a novel end-to-end attention-based CNN-LSTM neural network

Crossref DOI link: https://doi.org/10.1007/s10586-024-04921-6

Published Online: 2025-01-21

Published Print: 2025-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zarean, Javad

Tajally, AmirReza

Tavakkoli-Moghaddam, Reza

Kia, Reza
License Information

Text and Data Mining valid from 2025-01-21

Version of Record valid from 2025-01-21
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Article History

Received: 17 April 2024

Revised: 14 October 2024

Accepted: 14 November 2024

First Online: 21 January 2025

Declarations

:

: The authors declare no competing interests.

: The authors certify that they have no affiliation with or involvement with human participants or animals performed by any of the authors in any organization or entity with any financial or non-financial interest in the subject matter or materials discussed in this paper.

: Not applicable.

: Not applicable.

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