期刊
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷 50, 期 3, 页码 1178-1185出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2017.2756673
关键词
Authentication; Electroencephalography; Visualization; Face; Error analysis; Frequency-domain analysis; Authentication; biometric; computer security; electroencephalography; P300
资金
- ICT Research and Development Program of MSIP/IITP [2017-0-00432]
- Brain Research Program through the National Research Foundation of Korea - Ministry of Science and ICT [NRF-2016M3C7A1914448]
- Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2017-0-00432-004] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [2016M3C7A1914448] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
This paper proposes a two-factor authentication system that utilizes the knowledge factor: the knowledge of client's acquaintances as the key and inherence factor: P300 ERP responses to the visual stimuli as the medium. The system works by presenting a sequence of human photographs consisting of random people photographs mixed with a few of client's acquaintances photographs that trigger P300 responses. The system then verifies the client by considering the correctness of P300 responses to the client's acquaintances photographs. The proposed system achieves an error rate of nearly zero outperforming other brain-signal-based systems and has advantages over other conventional systems in the situations where the key is exposed to the imposer.
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