DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim, Yong Dae | - |
dc.contributor.advisor | 김용대 | - |
dc.contributor.author | Lee, You Jin | - |
dc.date.accessioned | 2018-06-20T06:25:07Z | - |
dc.date.available | 2018-06-20T06:25:07Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=718738&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/243503 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 정보보호대학원, 2017.8,[iv, 26 p. :] | - |
dc.description.abstract | While existing user authentication methods such as passwords, one-time passwords (OTP) or fingerprint have potential threats of data leakage, verification based on EEG is free from data breach or duplication since it is hard to mimic by an adversary. In this research, the difference of brain signals between when the subjects see unfamiliar photos and when they see the photos they already knew are used to distinguish the each user. As a set of known photos, publicly posted photos on each user's SNS are used. To make affordable and practical authentication device, an open-source hardware based on Arduino is used. By doing this, this brain authentication method can achieve both personalization and practicality. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Brain-Computer Interface (BCI)▼aEEG▼aEvent-Related Potential (ERP)▼aAuthentication | - |
dc.subject | 뇌-컴퓨터 인터페이스▼a뇌파▼a사건 관련 전위▼a개인 인증 | - |
dc.title | Personalized user authentication method using open-source brain-computer interface | - |
dc.title.alternative | 오픈소스 하드웨어를 이용한 뇌파 기반 사용자 인증 방법에 대한 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :정보보호대학원, | - |
dc.contributor.alternativeauthor | 이유진 | - |
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