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A Study on User Authentication Algorithm based on Biometric Information Using Electroencephalogram
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뇌파정보를 이용한 생체정보 기반의 사용자 인증 알고리즘 연구

논문 기본 정보

Type
Academic journal
Author
Han-Jin Cho (극동대학교)
Journal
The Korea Contents Society JOURNAL OF THE KOREA CONTENTS ASSOCIATION Vol.23 No.2 KCI Accredited Journals
Published
2023.2
Pages
346 - 352 (7page)
DOI
10.5392/JKCA.2023.23.02.346

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A Study on User Authentication Algorithm based on Biometric Information Using Electroencephalogram
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Abstract· Keywords

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Biometric information is attracting attention as an additional or alternative authentication method to existing authentication methods such as passwords and public certificates in that it does not require separate storage and memorization, has no risk of loss, and cannot be stolen or transferred. However, privacy issues due to leakage of personal information And since fixed biometric information is used, it has a problem of being vulnerable to retransmission attack. In addition, there is a problem in that the authentication accuracy is low because there is a difference in the EEG signal according to the time difference. To solve this problem, we propose a user authentication algorithm using EEG information. Using a single-channel EEG information measuring device, sine waves and feature points for each band were extracted to establish a correlation based on mutual similarity, an authentication algorithm using EEG information was developed, and an EEG information processing technology for each user was developed. In addition, a method of authenticating a user using an EEG signal generated when a user recognizes a string generated by using a security code in an authentication model using an EEG signal usable in a FIDO environment was established. The proposed method uses a single-channel EEG device to verify the difference in the ratio of a specific waveform (Theta/Alpha), providing a more convenient method than the method using frequency power using an existing multi-channel EEG device, and providing the information to the existing biometric authentication system. Because it can be delivered to, the usability has been increased.
#생체정보 #인증 #EEG 특징점 #EEG #Biometric #Authentication #EEG Feature #FIDO

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 관련연구
Ⅲ. EEG 기반의 생체정보 추출 및 학습 방법
Ⅳ. EEG 기반의 생체정보를 이용한 사용자 인증 방법
Ⅴ. 결론 및 향후 연구
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