KIPS Transactions on Computer and Communication Systems (정보처리학회논문지:컴퓨터 및 통신 시스템)

Korea Information Processing Society (한국정보처리학회)
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A Medical Staff Identification System by Using of Beacon, Iris Recognition and Blockchain

비콘과 홍채인식, 블록체인 기반의 의료진 신분확인 시스템 제안

  • Received : 2020.07.02
  • Accepted : 2020.11.16
  • Published : 2021.01.31
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Abstract

Recently, incidents such as proxy surgery (unlicensed medical practice) have been reported in the media that threaten the safety of patients. Alternatives such as the introduction of operating room surveillance camera devices to prevent proxy surgery are emerging, but there are practical difficulties in implementing them due to strong opposition from the medical community. However, the social credibility of doctors is falling as incidents such as proxy surgery occur frequently. In this paper, we propose a medical staff identification system combining Beacon and iris recognition. The system adds reliability by operating on the blockchain network. The system performs primary identification by performing user authentication through iris recognition and proves that the medical staff is in the operating room through beacons. It also ensures patient trust in the surgeon by receiving beacon signals in the background and performing iris authentication at random intervals to prevent medical staff from leaving the operating room after only performing initial certification.

최근 대리수술(무면허의료행위)과 같이 환자의 안전을 위협하는 사건들이 언론에 보도되고 있다. 대리수술 방지를 위한 수술실 감시카메라 장치도입 등의 대안이 등장하고 있지만, 의료계의 거센 반발로 인해 시행되기에는 현실적인 어려움이 있다. 하지만 대리 수술과 같은 사건이 빈번히 발생함에 따라 의사에 대한 사회적 신뢰도가 추락하고 있다. 본 논문에서는 근거리 무선 통신 장치인 비콘(Beacon)과 생체인식 중 안전하고 신뢰할 수 있는 홍채인식을 결합한 의료진 신분 확인 시스템을 제안한다. 이 시스템은 블록체인 상에서 동작하도록 하여 신뢰성을 더한다. 이 시스템은 홍채인식을 통해 사용자 인증을 수행함으로써 1차적인 신분확인을 하고 비콘을 통해 의료진이 수술실에 있다는 것을 증명한다. 또한 백그라운드로 비콘 신호를 수신하고, 무작위 주기로 홍채인증을 수행하여 의료진이 초기 인증만 수행하고 수술실을 떠나는 경우를 방지함으로써 집도의에 대한 환자의 신뢰를 보장한다.

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References

  1. MEDI:GATE NEWS [Internet], https://www.medigatenews.com/news/1896439862
  2. K. N. Kang, C. W. Kim, G. J. Bang, Y. J. Oh, L. Kwon, and E. C. Park, "Smart attendance management, indoor positioning and prepayment system using beacon," in Proceedings of Korea Software Congress 2018, pp.1650-1652, 2018.
  3. J. H. Lee, G. H. Chae, G. Y. Lim, J. H. Seol, S. M. Choi, and S. U. Lim, "Attendance check system combining beacons and biometrics," Korean Institute of Next Generation Computing, Vol.14, No.2, pp.24-32, 2018.
  4. B. S. Jang, S. J. Lee, and H. Y. Kwak "A study of attendance management system using beacon and BLE advertisement function," Journal of The Korea Society of Computer and Information, Vol.23, No.8, pp.67-73, 2018. https://doi.org/10.9708/JKSCI.2018.23.08.067
  5. J. H. Lee, "Electronic attendance-absence recording system using BLE advertising function of smartphone," Journal of the Korea Convergence Society, Vol.8, No.1, pp.7-12, 2017. https://doi.org/10.15207/JKCS.2017.8.1.007
  6. M. S. Lee, S. C. Park, Y. H. Goo, and M. S. Kim, "Electronic attendance system in campus network traffic analysis and system improvement," in Proceedings of Symposium of the Korean Institute of Communications and Information Sciences, pp.785-786, 2020.
  7. Y. W. Lee and K. R. Park, "A survey on iris recognition system," in Proceedings of the Summer Annual Conference of the Institue of Electronics and Information Engierres 2017, pp.610-612, 2017.
  8. J. G. Ko and J. H. Yoo, "Technologies trends for iris recognition at a distance," Electronics and Telecommunications Trends, Vol.28, No.3, pp.67-75, 2013.
  9. J. H. Kim, J. J. Kim, S. Y. Yun, and S. D. Youn, "A smart locker control systems based on the iris recognition," in Proceedings of Conference on Korea Infomation and Communication Engineering, pp.510-513, 2019.
  10. Y. B. Kwon, K. H. An, H. D. Kwon, and H. J. Seo, "CCTV cooperation authentication model using block chain," Journal of the Korea Institute of Information and Communication Engineering, Vol.23, No.4, pp.462-469, 2019. https://doi.org/10.6109/JKIICE.2019.23.4.462
  11. Y. B. Kwon, K. B. Jang, S. J. Choi, and H. J. Seo, "Open peer review system based on blockchain," Journal of the Korea Institute of Information and Communication Engineering, Vol.23, No.11, pp.1462-1470, 2019. https://doi.org/10.6109/JKIICE.2019.23.11.1462
  12. S. J. Choi, M. J. Sim, and H. J. Seo, "The blockchain delivery system for secure privacy with QR code and smart glasses," Journal of the Korea Institute of Information and Communication Engineering, Vol.24, No.5, pp.630-637, 2020. https://doi.org/10.6109/JKIICE.2020.24.5.630
  13. K. H. An, T. Y. Won, S. M. Park, K. B. Jang, and H. J. Seo, "A vehicle black box system with LINK blockchain," Journal of the Korea Institute of Information and Communication Engineering, Vol.23, No.8, pp.1018-1023, 2019. https://doi.org/10.6109/JKIICE.2019.23.8.1018
  14. K. B. Son, M. Y. Son, and Y. H. Kim, "Blockchain system for academic credit bank system," The Journal of the Korea Contents Association, Vol.20, No.5, pp.11-22, 2020. https://doi.org/10.5392/JKCA.2020.20.05.011
  15. J. Y. Cho and S. S. Lee, "Animal administration system using nose-print recognition and blockchain network," Journal of Institute of Korean Electrical and Electronics Engineers, Vol.23, No.4, pp.1477-1480, 2019.
  16. H. I. Hwang et al., "Healthcare professional identification process using fingerprint," in Proceedings of Korea Software Congress 2018, pp.251-253, 2018.