Design of EEG Signal Security Scheme based on Privacy-Preserving BCI for a Cloud Environment 


Vol. 45,  No. 1, pp. 45-52, Jan.  2018
10.5626/JOK.2018.45.1.45


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  Abstract

With the advent of BCI technology in recent years, various BCI products have been released. BCI technology enables brain information to be transmitted directly to a computer, and it will bring a lot of convenience to life. However, there is a problem with information protection. In particular, EEG data can raise issues about personal privacy. Collecting and analyzing big data on EEG reports raises serious concerns about personal information exposure. In this paper, we propose a secure privacy-preserving BCI model in a big data environment. The proposed model could prevent personal identification and protect EEG data in the cloud environment.


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  Cite this article

[IEEE Style]

K. Cho, D. Lee, N. Park, "Design of EEG Signal Security Scheme based on Privacy-Preserving BCI for a Cloud Environment," Journal of KIISE, JOK, vol. 45, no. 1, pp. 45-52, 2018. DOI: 10.5626/JOK.2018.45.1.45.


[ACM Style]

Kwon Cho, Donghyeok Lee, and Namje Park. 2018. Design of EEG Signal Security Scheme based on Privacy-Preserving BCI for a Cloud Environment. Journal of KIISE, JOK, 45, 1, (2018), 45-52. DOI: 10.5626/JOK.2018.45.1.45.


[KCI Style]

조권, 이동혁, 박남제, "클라우드 환경을 위한 Privacy-Preserving BCI 기반의 뇌파신호 보안기법 설계," 한국정보과학회 논문지, 제45권, 제1호, 45~52쪽, 2018. DOI: 10.5626/JOK.2018.45.1.45.


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