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Exploring the Feasibility and Performance of One-step Three-factor Authentication with Ear-EEG

Topics: Biosignal Acquisition, Analysis and Processing; Brain-Computer Interfaces; Human Factors in Physiological Computing; Physiological Computing in Mobile Devices; Physiology-Driven Computer Interaction; Usability; User Experience; Wearable Sensors and Systems

Authors: Max T. Curran 1 ; Nick Merrill 1 ; Swapan Gandhi 2 and John Chuang 1

Affiliations: 1 BioSENSE Lab, UC Berkeley School of Information, Berkeley, California and U.S.A. ; 2 Starkey Hearing Research Center, Berkeley, California and U.S.A.

Keyword(s): Usable Security, Multi-factor Authentication, Wearable Authentication, Passthoughts, Biosensing.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Instruments and Devices ; Biomedical Signal Processing ; Biosignal Acquisition, Analysis and Processing ; Brain-Computer Interfaces ; Collaboration and e-Services ; Devices ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Human-Computer Interaction ; Methodologies and Methods ; Pattern Recognition ; Physiological Computing in Mobile Devices ; Physiological Computing Systems ; Physiology-Driven Computer Interaction ; Software Engineering ; Usability ; Usability and Ergonomics ; Wearable Sensors and Systems ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: Multi-factor authentication presents a robust method to secure our private information, but typically requires multiple actions by the user resulting in a high cost to usability and limiting adoption. A usable system should also be unobtrusive and inconspicuous. We present and discuss a system with the potential to engage all three factors of authentication (inherence, knowledge, and possession) in a single step using an earpiece that implements brain-based authentication using electroencephalography (EEG). We demonstrate its potential by collecting EEG data using manufactured custom-fit earpieces with embedded electrodes and testing a variety of authentication scenarios. Across all participants’ best-performing “passthoughts”, we are able to achieve 0% false acceptance and 0.36% false rejection rates, for an overall accuracy of 99.82%, using one earpiece with three electrodes. Furthermore, we find no successful attempts simulating impersonation attacks. We also report on perspective s from our participants. Our results suggest that a relatively inexpensive system using a single electrode-laden earpiece could provide a discreet, convenient, and robust method for one-step multi-factor authentication. (More)

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Paper citation in several formats:
Curran, M.; Merrill, N.; Gandhi, S. and Chuang, J. (2018). Exploring the Feasibility and Performance of One-step Three-factor Authentication with Ear-EEG. In Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS, ISBN 978-989-758-329-2; ISSN 2184-321X, pages 30-41. DOI: 10.5220/0006896300300041

@conference{phycs18,
author={Max T. Curran. and Nick Merrill. and Swapan Gandhi. and John Chuang.},
title={Exploring the Feasibility and Performance of One-step Three-factor Authentication with Ear-EEG},
booktitle={Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS,},
year={2018},
pages={30-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006896300300041},
isbn={978-989-758-329-2},
issn={2184-321X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS,
TI - Exploring the Feasibility and Performance of One-step Three-factor Authentication with Ear-EEG
SN - 978-989-758-329-2
IS - 2184-321X
AU - Curran, M.
AU - Merrill, N.
AU - Gandhi, S.
AU - Chuang, J.
PY - 2018
SP - 30
EP - 41
DO - 10.5220/0006896300300041

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