A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes

Yiyu Chen; Ayalneh Dessalegn Atnafu; Isabella Schlattner; Wendimagegn Tariku Weldtsadik; Myung Cheol Roh; Hyoung Joong Kim; Seong Whan Lee; Benjamin Blankertz; Siamac Fazli

doi:10.1109/TIFS.2016.2577551

A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes

Yiyu Chen, Ayalneh Dessalegn Atnafu, Isabella Schlattner, Wendimagegn Tariku Weldtsadik, Myung Cheol Roh, Hyoung Joong Kim, Seong Whan Lee, Benjamin Blankertz, Siamac Fazli

Research output: Contribution to journal › Article › peer-review

140 Citations (Scopus)

Abstract

Lately, electroencephalography (EEG)-based auth-entication has received considerable attention from the scientific community. However, the limited usability of wet EEG electrodes as well as low accuracy for large numbers of users have so far prevented this new technology to become commonplace. In this study a novel EEG-based authentication system is presented, which is based on the rapid serial visual presentation paradigm and uses a knowledge-based approach for authentication. Twenty-nine subjects' data were recorded and analyzed with wet EEG electrodes as well as dry ones. A true acceptance rate of 100% can be reached for all subjects with an average required login time of 13.5 s for wet and 27 s for dry electrodes. Average false acceptance rates for the dry electrode setup were estimated to be $3.33×10^-5.

Original language	English
Article number	7486116
Pages (from-to)	2635-2647
Number of pages	13
Journal	IEEE Transactions on Information Forensics and Security
Volume	11
Issue number	12
DOIs	https://doi.org/10.1109/TIFS.2016.2577551
Publication status	Published - Dec 1 2016
Externally published	Yes

Keywords

authentication
Biometrics
brain-computer interfaces
computer security
dry electrodes
EEG
ERP
RSVP

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality
Computer Networks and Communications

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10.1109/TIFS.2016.2577551

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title = "A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes",

abstract = "Lately, electroencephalography (EEG)-based auth-entication has received considerable attention from the scientific community. However, the limited usability of wet EEG electrodes as well as low accuracy for large numbers of users have so far prevented this new technology to become commonplace. In this study a novel EEG-based authentication system is presented, which is based on the rapid serial visual presentation paradigm and uses a knowledge-based approach for authentication. Twenty-nine subjects' data were recorded and analyzed with wet EEG electrodes as well as dry ones. A true acceptance rate of 100% can be reached for all subjects with an average required login time of 13.5 s for wet and 27 s for dry electrodes. Average false acceptance rates for the dry electrode setup were estimated to be $3.33×10-5.",

keywords = "authentication, Biometrics, brain-computer interfaces, computer security, dry electrodes, EEG, ERP, RSVP",

author = "Yiyu Chen and Atnafu, {Ayalneh Dessalegn} and Isabella Schlattner and Weldtsadik, {Wendimagegn Tariku} and Roh, {Myung Cheol} and Kim, {Hyoung Joong} and Lee, {Seong Whan} and Benjamin Blankertz and Siamac Fazli",

note = "Funding Information: This work was supported by the National Research Foundation of Korea through the Korean Government under Grant NRF-2015R1A2A1A05001867. Publisher Copyright: {\textcopyright} 2016 IEEE.",

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doi = "10.1109/TIFS.2016.2577551",

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AU - Chen, Yiyu

AU - Atnafu, Ayalneh Dessalegn

AU - Schlattner, Isabella

AU - Weldtsadik, Wendimagegn Tariku

AU - Roh, Myung Cheol

AU - Kim, Hyoung Joong

AU - Lee, Seong Whan

AU - Blankertz, Benjamin

AU - Fazli, Siamac

PY - 2016/12/1

Y1 - 2016/12/1

N2 - Lately, electroencephalography (EEG)-based auth-entication has received considerable attention from the scientific community. However, the limited usability of wet EEG electrodes as well as low accuracy for large numbers of users have so far prevented this new technology to become commonplace. In this study a novel EEG-based authentication system is presented, which is based on the rapid serial visual presentation paradigm and uses a knowledge-based approach for authentication. Twenty-nine subjects' data were recorded and analyzed with wet EEG electrodes as well as dry ones. A true acceptance rate of 100% can be reached for all subjects with an average required login time of 13.5 s for wet and 27 s for dry electrodes. Average false acceptance rates for the dry electrode setup were estimated to be $3.33×10-5.

AB - Lately, electroencephalography (EEG)-based auth-entication has received considerable attention from the scientific community. However, the limited usability of wet EEG electrodes as well as low accuracy for large numbers of users have so far prevented this new technology to become commonplace. In this study a novel EEG-based authentication system is presented, which is based on the rapid serial visual presentation paradigm and uses a knowledge-based approach for authentication. Twenty-nine subjects' data were recorded and analyzed with wet EEG electrodes as well as dry ones. A true acceptance rate of 100% can be reached for all subjects with an average required login time of 13.5 s for wet and 27 s for dry electrodes. Average false acceptance rates for the dry electrode setup were estimated to be $3.33×10-5.

KW - authentication

KW - Biometrics

KW - brain-computer interfaces

KW - computer security

KW - dry electrodes

KW - EEG

KW - ERP

KW - RSVP

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A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes

Abstract

Keywords

ASJC Scopus subject areas

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