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Authors: Florian Gondesen 1 and Dieter Gollmann 2

Affiliations: 1 School of Computer Science and Engineering, Nanyang Technological University, Singapore ; 2 Hamburg University of Technology, Hamburg, Germany

Keyword(s): Biometrics, Electroencephalography, Authentication, Visual.

Abstract: The performance of contemporary biometrics systems based on electroencephalography (EEG) suffers from a low signal to noise ratio due to the properties of the human EEG and the measurement on the scalp. There is a trade-off between accuracy and the time required for data acquisition. Additional time is needed to mount an EEG headset so that authentication requires several minutes, rendering it not very usable for most scenarios. In a scenario where an EEG headset is already worn for a different purpose, the setup time can be neglected and the time for data acquisition may be extended if it does not interfere with the subject’s actual task, allowing continuous authentication. However, most proposed EEG-based authentication systems require the user to perform a certain task during data acquisition, distracting the user from the actual task. We conceptualize an EEG-based continuous authentication scheme that does not require the user to perform a task in addition to working at a screen. We propose two approaches based on well known brain responses, SSVEP and ERP. (More)

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Paper citation in several formats:
Gondesen, F. and Gollmann, D. (2021). CIBA: Continuous Interruption-free Brain Authentication. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOSIGNALS; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 314-319. DOI: 10.5220/0010328000002865

@conference{biosignals21,
author={Florian Gondesen. and Dieter Gollmann.},
title={CIBA: Continuous Interruption-free Brain Authentication},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOSIGNALS},
year={2021},
pages={314-319},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010328000002865},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOSIGNALS
TI - CIBA: Continuous Interruption-free Brain Authentication
SN - 978-989-758-490-9
IS - 2184-4305
AU - Gondesen, F.
AU - Gollmann, D.
PY - 2021
SP - 314
EP - 319
DO - 10.5220/0010328000002865
PB - SciTePress

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