Original Research ARTICLE
One-Step, Three-Factor Passthought Authentication with Custom-Fit, In-Ear EEG
- 1University of California, Berkeley, United States
- 2Starkey Hearing Research Centre, United States
In-ear EEG offers a promising path toward usable, discreet brain-computer interfaces (BCIs) for both healthy individuals and persons with disabilities. To test the promise of this modality, we produced a brain-based authentication system using custom-fit EEG earpieces. In a sample of N=7 participants, we demonstrated that our system has high accuracy, higher than prior work using non-custom earpieces. We demonstrated that both inherence and knowledge factors contribute to authentication accuracy, and performed a simulated attack to show our system's robustness against impersonation. From an authentication standpoint, our system provides three factors of authentication in a single step. From a usability standpoint, our system does not require a cumbersome, head-worn device.
Keywords: Passthoughts, authentication, In-EAR EEG, Ubiquitous & pervasive computing, brain-computer interface
Received: 10 Jan 2019;
Accepted: 28 Mar 2019.
Edited by:Martin G. Bleichner, University of Oldenburg, Germany
Reviewed by:Brent Winslow, Design Interactive (United States), United States
Malte Wöstmann, Universität zu Lübeck, Germany
Copyright: © 2019 Merrill, Curran, Gandhi and Chuang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Nick Merrill, University of California, Berkeley, Berkeley, United States, email@example.com