Journal of KIISE (정보과학회 논문지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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Design of EEG Signal Security Scheme based on Privacy-Preserving BCI for a Cloud Environment

클라우드 환경을 위한 Privacy-Preserving BCI 기반의 뇌파신호 보안기법 설계

  • 조권 (제주대학교 과학기술사회연구센터) ;
  • 이동혁 (제주대학교 컴퓨터교육학과) ;
  • 박남제 (제주대학교 초등컴퓨터교육전공)
  • Received : 2017.08.08
  • Accepted : 2017.10.25
  • Published : 2018.01.15
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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.

최근 BCI 기술이 등장함에 따라, 다양한 BCI 제품이 출시되고 있다. BCI 기술은 뇌파 정보를 직접 컴퓨터에 전달 가능하게 하는 기술이며, 이러한 기술은 생활에 많은 편의성을 가져다 줄 것이다. 그러나, 이러한 이면에는 정보보호의 문제가 존재한다. 특히, 뇌파정보는 일종의 개인 프라이버시로써 취급될 수 있으며, 뇌파정보를 클라우드 상에서 수집하여 빅데이터 기반으로 수집하고 분석할 시 심각한 개인정보노출이 우려된다. 본 논문에서는 빅데이터 환경에서의 안전한 Privacy-Preserving BCI 모델을 제안하였다. 제안한 모델은 클라우드 환경에서 개인 식별을 방지하고 뇌파 데이터를 안전하게 보호할 수 있으며, 스니핑 및 내부자 공격 등에 안전하다는 장점이 있다.

Keywords

Acknowledgement

Supported by : 한국연구재단

References

  1. Hosseini, Mohammad-Parsa, et al., "Cloud-based deep learning of big eeg data for epileptic seizure prediction," 2016 IEEE Global Conference on. IEEE, 2016.
  2. Penhaker, Marek, et al., "Cloud computing environments for biomedical data services," Intelligent Data Engineering and Automated Learning-IDEAL 2012, pp. 336-343, 2012.
  3. Namje Park, Namhi Kang, "Mutual Authentication Scheme in Secure Internet of Things Technology for Comfortable Lifestyle," Sensors, Vol. 16, No. 1, pp. 1-16, Dec. 2015. https://doi.org/10.3390/s16010001
  4. Hosseini, Mohammad-Parsa, Abolfazl Hajisami, and Dario Pompili, "Real-time epileptic seizure detection from eeg signals via random subspace ensemble learning," 2016 IEEE International Conference on. IEEE, 2016.
  5. Kyung-Won Park, Yee-Jae Shin, Won-Gi Jeon, "Design of EEG Signal Processing Platform for Mobile Brain-Computer Interfaces," Proc. of Symposium of the Korean Institute of communications and Information Sciences, pp. 473-474, 2015.
  6. Jaewan Shin, Shin Dong Kyoo, Shin Dong Il, "Design of Brain-Computer Interface System for User Intention Recognition," Proc. of Symposium of the Korean Institute of communications and Information Sciences, pp. 790-791, 2013.
  7. Namje Park, Donghyeok Lee, "Electronic identity information hiding methods using a secret sharing scheme in multimedia-centric internet of things environment," Personal and Ubiquitous Computing, DOI 101007/s00779-017-1017-1, pp.1-8, Mar. 2017.
  8. Shen, Chia-Ping, et al., "Bio-signal analysis system design with support vector machines based on cloud computing service architecture," 2010 Annual International Conference of the IEEE, 2010.
  9. Blondet, Maria V. Ruiz, et al., "A wearable real-time BCI system based on mobile cloud computing," 2013 6th International IEEE/EMBS Conference on. IEEE, 2013.
  10. Chang Gi Kim, Jeong Min Seo, "An Design and Implementation of Navigation System for Visually Impaired Persons Based on Smart Mobile Devices," Journal of the Korea Contents Association, Vol. 15, No. 1, pp. 24-30, Jan. 2015. https://doi.org/10.5392/JKCA.2015.15.01.024
  11. Donghyeok Lee, Namje Park, "Geocasting-based synchronization of Almanac on the maritime cloud for distributed smart surveillance," The Journal of Supercomputing, Vol. 73, No. 3, pp. 1119, Jan. 2017. https://doi.org/10.1007/s11227-017-1967-0
  12. Dong-Eun Kim, Kwee-Bo Sim, "A Study on the Relation between EEG and Strength for Artificial Hand Control," Proc. of Symposium of the Korean Institute of Intelligent Systems, pp. 121-122, Oct. 2013.
  13. Namje Park, Marie Kim, "Implementation of load management application system using smart grid privacy policy in energy management service environment," Cluster Computing, Vol. 17, No. 3, pp. 653- 664, Sep. 2014. https://doi.org/10.1007/s10586-014-0367-y
  14. Dong-Eun Kim, Je-Hun Yu, Kwee-Bo Sim, "EEG Feature Classification for Precise Motion Control of Artificial Hand," Journal of Korean Institute of Intelligent Systems, Vol. 25, No. 1, pp. 29-34, Feb. 2015. https://doi.org/10.5391/JKIIS.2015.25.1.029
  15. Hyun Jung La, Chun Woo Park, Soo Dong Kim, "A Framework for Effectively Managing Dynamism of IoT Devices," Journal of KISS : Software and Applications, Vol. 41, No. 8, pp. 545-556, Aug. 2014.
  16. Namje Park, Hongxin Hu, Qun Jin, "Security and Privacy Mechanisms for Sensor Middleware and Application in Internet of Things (IoT)," International Journal of Distributed Sensor Networks," Vol. 2016, Jan. 2016.
  17. Lee Hyun Ju, Shin Dong Il, Shin Dong Kyoo, "A Study on the system design for analysis of EEG signals," Proc. of Symposium of the Korean Institute of communications and Information Sciences, pp. 610-611, Jun. 2014.