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http://dx.doi.org/10.15207/JKCS.2018.9.1.465

User Authentication Method using EEG Signal in FIDO System  

Kim, Yong-Ki (Department of Information & Communications, VISION College of JeonJu)
Chae, Cheol-Joo (Department of General Education, Korea National College of Agriculture and Fisheries)
Cho, Han-Jin (Department of Energy IT Engineering, Far East University)
Publication Information
Journal of the Korea Convergence Society / v.9, no.1, 2018 , pp. 465-471 More about this Journal
Abstract
Recently, biometric technology has begun to be used as a fusion of IT technology and financial system. Using this biometric technology, FIDO(Fast Identity Online) technology, Samsung and Apple started Samsung Pay and Apple Pay service. FIDO authentication technology replaces existing authentication methods such as passwords. Among the biometric technologies, fingerprint recognition technology is attracting attention because it can minimize the device and user rejection at a relatively low price. However, fingerprint information has a limited number of users and it can not be reused if fingerprint information is leaked by an external attacker. Therefore, in this paper, we propose a method to authenticate a user using EEG signal which is one of biometrics technologies. W propose a method to use EEG signal measurement value in FIDO system by using convenience channel by using short channel EEG device. And propose a method to utilize EEG signal when the user recognizes a specific entity by measuring the EEG signal before and after recognizing a specific entity.
Keywords
FIDO; EEG; EEG Authentication; Biometric Technology; User Authentication;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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