본문 바로가기
KERD
논문KCI 등재

IoT 환경에서 활용 가능한 안전한 의료 데이터 공유 기법

Secure Medical Data Sharing Techniques that Can Be Utilized in IoT Environments

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류컴퓨터학

초록

최근 개인정보 이동권을 위한 마이데이터 사업이 의료분야까지 확장하고 있다. 모든 연령대를 대상으로 의료 및 헬스케어 산업 확산을 위해선 낮은 비용으로 보급할 수 있는 IoT 기기들을 활용하여 안전하게 의료 데이터를 공유할 수 있는 기법이 필요하다. 최근 Qiu 등은 데이터와 암호키를 데이터 암호화에 사용함으로 암호화 키가 외부에 노출돼도 안전한 의료 데이터 공유기법을 제안하였다. 그러나 Qiu 등의 기법은 N개의 의료기관과 자신의 의료 데이터를 공유하기 위해선 N개의 복호화 키를 기기에 저장해야 한다는 특징을 가진다. 이에 따라 키 관리의 문제가 발생하고, 사용자 기기 측면에서는 저장공간 오버헤드와 추가적인 검색연산이 요구된다는 한계점을 가진다. 본 논문에서는 Qiu 등의 기법을 발전시켜 의료 데이터 공유 대상의 수가 증가하여도 사용자 기기 관점에서 효율적인 의료 데이터 공유 기법을 제안한다. 하나의 키로부터 나머지 키를 파생시키는 키 생성 기법을 제안함으로써 사용자 기기 측면에서 저장공간 오버헤드가 발생하지 않으며, 추가적인 검색연산이 필요 없어 저사양 기기에서 활용 가능하다. 비교 실험의 결과 제안된 기법이 Qiu 등의 기법에 비해 키 생성 시간을 포함한 암호화 시간은 0.05초가 빠르며, 에너지 소비는 4.3% 적어 시간, 에너지 측면에서도 효율적이다.

Abstract

The MyData initiative for personal data portability has recently expanded into the medical field. A method for securely sharing medical data using low-cost IoT devices is essential for widespread adoption of healthcare services across all age groups. Qiu et al. proposed a secure medical data sharing technique using both data and encryption keys, ensuring safety even if the encryption key is exposed. However, their method requires storing N decryption keys for N medical institutions, leading to key management issues, storage overhead, and additional search operations on user devices. This paper presents an improved method based on Qiu et al.'s technique, maintaining efficiency from the user device perspective as the number of data sharing targets increases. We propose a key generation technique deriving multiple keys from a single key, eliminating storage overhead and additional search operations, thus suitable for low-spec devices. Experimental results show our method is 0.05 seconds faster in encryption time (including key generation) and consumes 4.3% less energy compared to Qiu et al.'s method, demonstrating improved efficiency in time and energy consumption.

참고문헌 (34)

  1. A. Shobanadevi, "Data mining techniques for IoT and big data—A survey", 2017International Conference on Intelligent Sustainable Systems (ICISS) (2017)
  2. D. Piaggio, "A framework for designing medical devices resilient to low-resource settings", Globalization and health, 17(64) (2021)
  3. A. Torres, "Analyzing Driving Factors of User-Generated Content on YouTube and Its Influence on Consumers Perceived Value", Marketing and Smart Technologies, pp.683~696 (2022)
  4. R. Abdolkhani, "Patient-generated health data management and quality challenges in remote patient monitoring", JAMIA open, 2, pp.471~478 (2019)
  5. "2023 Data Industry White Paper" (2024)[URL]
  6. "2023 Data Industry Surveys" (2024)[URL]
  7. "technical R&D Loadmap(22~26)" (2024)[URL]
  8. X. Cheng, "Blockchainbased secure authentication scheme for medical data sharing", International Conference of Pioneering Computer Scientists, Engineers and Educators, pp.396~411 (2019)
  9. X. Cheng, "Design of a secure medical data sharing scheme based on blockchain", Journal of medical systems, 44, pp.52~ (2020)
  10. S. Vidhya, "A blockchain based secure and privacy aware medical data sharing using smart contract and encryption scheme", Peer-to-Peer Networking and Applications, 16, pp.900~913 (2023)
  11. A.K. Mishra, "Hybrid blockchain based medical data sharing with the optimized CP-ABE for e-Health systems", International Journal of Information Technology, 16, pp.121~130 (2024)
  12. B. Fabian, "Collaborative and secure sharing of healthcare data in multi-clouds", Information Systems, 48, pp.132~150 (2015)
  13. A. Mubarakali, "Healthcare services monitoring in cloud using secure and robust healthcare-based BLOCK CHAIN(SRHB)approach", Mobile Networks and Applications, 25, pp.1330~1337 (2020)
  14. S. Uma Maheswari, "Secure medical health care content protection system(SMCPS)with watermark detection for multi cloud computing environment", Multimedia Tools and Applications, 79, pp.4075~4097 (2020)
  15. R.Y. Patil, "Reliable data sharing in medical cyber physical system using fog computing, Intelligent Edge Computing for Cyber Physical Applications", pp.67~83 (2023), Academic Press
  16. R.Y. Patil, "A secure privacy preserving and access control scheme for medical internet of things(MIoT)using attribute-based signcryption", International Journal of Information Technology, 16, pp.181~191 (2024)
  17. H. Qiu, "Secure health data sharing for medical cyber-physical systems for the healthcare 4.0", journal of biomedical and health informatics, 24, pp.2499~2505 (2020)
  18. C. Guo, "Big data analytics in healthcare, Knowledge technology and systems: Toward establishing knowledge systems science", pp.27~70 (2023), Springer Nature Singapore
  19. A. Alorwu, "Assessing MyData scenarios: Ethics, concerns, and the promise", Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp.1~11 (2021)
  20. C. Jayathilake, "The Adoption of MyData-Based Health Applications Among Elderly Citizens in Nordic Countries and the UK", Nordic Conference on Digital Health and Wireless Solutions, pp.147~165 (2024)
  21. A.K. Saiod, "Handbook of Large-Scale Distributed Computing in Smart Healthcare", pp.123~156 (2017)
  22. T. Heart, "A review of PHR, EMR and EHR integration: A more personalized healthcare and public health policy", Health Policy and Technology, 6, pp.20~25 (2017)
  23. J. Almeida, "Exporting data from an openEHR repository to standard formats", ocedia Technology, 16, pp.1391~1396 (2014)
  24. N.A.N. Ariffin, "Benefits and challenges of electronic medical records (EMR)implementation in developing countries", International Conference on Governace, Management and Social Innovation, pp.175~ (2019)
  25. I., Lee, "Medical cyber physical systems", Proceedings of the 47th design automation conference, pp.743~748 (2010)
  26. A.K. Tyagi, "Cyber Physical Systems : Analyses, challenges and possible solutions", Internet of Things and Cyber-Physical Systems, 1, pp.22~33 (2021)
  27. N. Dey, "Medical cyber-physical systems: A survey", Journal of medical systems, 42, pp.1~13 (2018)
  28. Transitioning the Use of Cryptographic Algorithms and Key Lengths, "E. Barker", National Institute of Standards and Technology, ~, pp.NIST Special Publication (SP) 800-131A (2019)
  29. E. Austin, "Use of patient-generated health data across healthcare settings: implications for health systems", JAMIA open, 31, pp.70~76 (2020)
  30. "Synthea Dataset Jsons – EHR" (2024)[URL]
  31. "Synthea" (2024)[URL]
  32. ", The Cancer Imaging Archive" (2016)[URL]
  33. A.J. Menezes, "Handbook of applied cryptography" (2018), CRC press
  34. Y. Yacobi, "On key distribution systems", Conference on the Theory and Application of Cryptology, pp.344~355 (1989)

관련 논문AI추천

이 간행물의 다른 논문 (34건)