User Authentication Method using EEG Signal in FIDO System

FIDO 시스템에서 EEG 신호를 이용한 사용자 인증 방법

  • 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)
  • 김용기 (전주비전대학교 정보통신과) ;
  • 채철주 (한국농수산대학 교양공통과) ;
  • 조한진 (극동대학교 에너지IT공학과)
  • Received : 2017.11.13
  • Accepted : 2018.01.20
  • Published : 2018.01.28


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.


Supported by : National Research Foundation of Korea(NRF)


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