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Efficient Patient-Friendly Medical Blockchain System Based on Attribute-Based Encryption

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Abstract

In recent years, there have been rapid advances in electronic medical record (EMR) sharing with the fast development of blockchain technology. Using blockchain technology to build the electronic medical record sharing system can effectively solve the problem that medical data is hard to share between different hospitals’ databases. However, existing EMR sharing system using blockchain technology is mainly for medical institutions, and the patients as the data owner even can’t easily share their own personal EMR when they need to use it. The patient’s demand for management of personal EMRs is largely ignored. At the same time, the doctor’s longitudinal access to personal EMRs requires a fairly large overhead, which severely causes treatment delay. This paper proposes a patient-friendly blockchain electronic medical data sharing system based on main-sub structured blockchain, which enables patients to manage their personal medical data directly and enhances the authorized users’ efficiency of access to personal EMRs significantly. Experimental results demonstrate that our scheme is efficient enough to support the real medical record sharing applications.

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References

  1. Marwan, M., Kartit, A., Ouahmane, H.: A cloud based solution for collaborative and secure sharing of medical data. Int. J. Enterp. Inf. Syst. (IJEIS) 14, 128–145 (2018)

    Article  Google Scholar 

  2. Yang, J.J., Li, J.Q., Niu, Y.: A hybrid solution for privacy preserving medical data sharing in the cloud environment. Future Gener. Comput. Syst. (FGCS) 43, 74–86 (2015)

    Article  Google Scholar 

  3. Wu, Y., et al.: Adaptive authorization access method for medical cloud data based on attribute encryption. In: Ni, W., Wang, X., Song, W., Li, Y. (eds.) WISA 2019. LNCS, vol. 11817, pp. 361–367. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30952-7_36

    Chapter  Google Scholar 

  4. Ding, Y., Song, W., Sheng, Y., Yan, S.: Enabling efficient multi-keyword search over fine-grained authorized healthcare blockchain system. In: The Asia Pacific Web (APWeb) (2020)

    Google Scholar 

  5. Goyal, V., Pandey, O., Sahai, A.: Attribute-based encryption for fine-grained access control of encrypted data. In: Proceedings of the 13th ACM Conference on Computer and Communications Security (CCS), pp. 89–98 (2006)

    Google Scholar 

  6. Zyskind, G., Nathan, O., Pentland, A.: Decentralizing privacy: using blockchain to protect personal data. In: Proceedings of IEEE Symposium on Security and Privacy (S&P) Workshop, pp. 180–184 (2015)

    Google Scholar 

  7. Kish, L.J., Topol, E.J.: Unpatients-why patients should own their medical data. Nat. Biotechnol. 33, 921–924 (2015)

    Google Scholar 

  8. Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system, Bitcoin White Paper (2008)

    Google Scholar 

  9. Azaria, A., Ekblaw, A., Vieira, T., Lippman, A.: MedRec: using blockchain for medical data access and permission management. In: 2016 2nd International Conference on Open and Big Data (OBD), pp. 25–30 (2016)

    Google Scholar 

  10. Ajtai, M.: Generating hard instances of lattice problems. In: Proceedings of ACM Symposium on Theory of Computing, pp. 99–108 (1996)

    Google Scholar 

  11. Fan, K., Wang, S., Ren, Y., Li, H., Yang, Y.: MedBlock: efficient and secure medical data sharing via blockchain. J. Med. Syst. 42(8), 1–11 (2018). https://doi.org/10.1007/s10916-018-0993-7

    Article  Google Scholar 

  12. Tep, K.S., Martini, B., Hunt, R., Choo, K.K.R.: A taxonomy of cloud attack consequences and mitigation strategies: the role of access control and privileged access management. In: Proceedings of the 2015 IEEE Trustcom/BigDataSE/ISPA, pp. 1073–1080 (2015)

    Google Scholar 

  13. Sahai, A., Waters, B.: Fuzzy identity-based encryption. In: Cramer, R. (ed.) EUROCRYPT 2005. LNCS, vol. 3494, pp. 457–473. Springer, Heidelberg (2005). https://doi.org/10.1007/11426639_27

    Chapter  Google Scholar 

  14. Xia, Q., Sifah, E.: MeDShare: trust-less medical data sharing among cloud service providers via blockchain. IEEE Access 5, 14757–14767 (2017). ISSN 2169-3536

    Google Scholar 

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Acknowledgement

This work is supported by the key projects of the National Natural Science of Foundation of China (No. U1811263, 61572378), the major technical innovation project of Hubei Province (No. 2019AAA072), the Science and Technology Project of State Grid Corporation of China (No. 5700-202072180A-0-0-00), the Teaching Research Project of Wuhan University (No. 2018JG052). We also thank anonymous reviewers for the helpful reports.

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Correspondence to Wei Song .

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Sun, Y., Song, W., Shen, Y. (2020). Efficient Patient-Friendly Medical Blockchain System Based on Attribute-Based Encryption. In: Wang, G., Lin, X., Hendler, J., Song, W., Xu, Z., Liu, G. (eds) Web Information Systems and Applications. WISA 2020. Lecture Notes in Computer Science(), vol 12432. Springer, Cham. https://doi.org/10.1007/978-3-030-60029-7_57

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  • DOI: https://doi.org/10.1007/978-3-030-60029-7_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60028-0

  • Online ISBN: 978-3-030-60029-7

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