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EEG-based user authentication using artifacts
conference contribution
posted on 2014-01-01, 00:00 authored by T Pham, W Ma, D Tran, Phuoc NguyenPhuoc Nguyen, D PhungRecently, electroencephalography (EEG) is considered as a new potential type of user authentication with many security advantages of being difficult to fake, impossible to observe or intercept, unique, and alive person recording require. The difficulty is that EEG signals are very weak and subject to the contamination from many artifact signals. However, for the applications in human health, true EEG signals, without the contamination, is highly desirable, but for the purposes of authentication, where stable and repeatable patterns from the source signals are critical, the origins of the signals are of less concern. In this paper, we propose an EEG-based authentication method, which is simple to implement and easy to use, by taking the advantage of EEG artifacts, generated by a number of purposely designed voluntary facial muscle movements. These tasks can be single or combined, depending on the level of security required. Our experiment showed that using EEG artifacts for user authentication in multilevel security systems is promising.
History
Event
Intelligent and Soft Computing. Conference (2014 : Bilbao, Spain)Volume
299Series
Intelligent and Soft Computing ConferencePagination
343 - 353Publisher
SpringerLocation
Bilbao, SpainPlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2014-06-25End date
2014-06-27ISSN
2194-5357ISBN-13
9783319079943Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2014, Springer International Publishing SwitzerlandEditor/Contributor(s)
J de la Puerta, I Ferreira, P Bringas, F Klett, A Abraham, A de Carvalho, Á Herrero, B Baruque, H Quintián, E CorchadoTitle of proceedings
SOCO’14-CISIS’14-ICEUTE’14 : Proceedings of the International Joint Conference SOCO’14-CISIS’14-ICEUTE’14Usage metrics
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