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

Kwon Cho, Donghyeok Lee, Namje Park

http://doi.org/10.5626/JOK.2018.45.1.45

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.