期刊
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
卷 11, 期 12, 页码 2635-2647出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIFS.2016.2577551
关键词
Biometrics; EEG; brain-computer interfaces; computer security; authentication; RSVP; dry electrodes; ERP
资金
- National Research Foundation of Korea through Korean Government [NRF-2015R1A2A1A05001867]
- Bundes Ministerium fur Bildung und Forschung [01GQ0850]
- National Research Foundation of Korea [2015R1A2A1A05001867] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Lately, electroencephalography (EEG)-based authentication 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 x 10(-5).
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