SpringerLink
Log in

Secure electronic medical records sharing scheme based on blockchain and quantum key

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

Electronic medical records have the advantages of large storage capacity, convenience, improved efficiency, etc. However, since electronic medical records contain a large amount of patient’s private information, if they are stored directly in the cloud server, patients may face the risk of privacy data leakage and electronic medical record data tampering. To solve the above problems, this paper proposes a secure sharing scheme of electronic medical records combining quantum key and blockchain. Based on the true randomness of quantum keys, the multi-user secure forwarding mechanism of quantum keys is designed using proxy re-encryption technology and blockchain. A fine-grained access control scheme for electronic medical records by users with different roles was proposed using data desensitization technology. To facilitate secure retrieval from the cloud server, searchable encryption technology is used. This paper analyzes the comprehensive performance level of the proposed scheme through blockchain performance testing and system efficiency testing.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Data availability

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

References

  1. Su, J., He, B., Guan, Y., Jiang, J., Yang, J.: Develo** a cardiovascular disease risk factor annotated corpus of chinese electronic medical records. Bmc Med. Info. Decis. Mak. 17, 117–111711 (2017). https://doi.org/10.1186/s12911-017-0512-7

    Article  Google Scholar 

  2. Fang, S., Cai, Z., Sun, W., Liu, A., Liu, F., Liang, Z., Wang, G.: Feature selection method based on class discriminative degree for intelligent medical diagnosis. Comput. Mater. Contin. 55, 419–433 (2018). https://doi.org/10.3970/cmc.2018.02289

    Article  Google Scholar 

  3. Fernández-Alemán, J.L., Señor, I.C., Lozoya, P.Á.O., Toval, O.: Security and privacy in electronic health records: a systematic literature review. J. Biomed. Info. 46, 541–562 (2013). https://doi.org/10.1016/j.jbi.2012.12.003

    Article  Google Scholar 

  4. Liu, C.H., Chen, T.L., Chang, C.Y.: A reliable authentication scheme of personal health records in cloud computing. Wirel. Netw. (2021). https://doi.org/10.1007/s11276-021-02743-7

    Article  Google Scholar 

  5. Sreenivasa Rao, Y.: A secure and efficient ciphertext-policy attribute-based signcryption for personal health records sharing in cloud computing. Future Gener. Comput. Syst. 67, 133–151 (2017). https://doi.org/10.1016/j.future.2016.07.019

  6. Yu, J., Hu, K.F., Ding, Y.W.: An efficient desensitization algorithm for chinese medicine data. Mod. Tradit. Chin. Med. Mater. Mater. World Sci. Technol. 22, 4169–4174 (2017). https://doi.org/10.11842/wst.20200305014

    Article  Google Scholar 

  7. Campbell, R.: Evaluation of post-quantum distributed ledger cryptography. Br. Blockchain Assoc. 2, 1–8 (2019). https://doi.org/10.31585/JBBA-2-1-(4)2019

    Article  Google Scholar 

  8. Rahman, M., Zhou, L., Chakrabartty, S.: Spotkd: a protocol for symmetric key distribution over public channels using self-powered timekee** devices. IEEE Trans. Info. Forensics Secur. 17, 1159–1171 (2022). https://doi.org/10.1109/TIFS.2022.3158089

    Article  Google Scholar 

  9. Haleem, A., Javaid, M., Singh, R.P., Suman, R., Rab, S.: Blockchain technology applications in healthcare: an overview. Int. J. Intelligent Netw. 2, 130–139 (2021). https://doi.org/10.1016/j.i**.2021.09.005

    Article  Google Scholar 

  10. Zhou, Z.Q., Chen, Y.L., Li, T., Ren, X.J., Qing, X.Y.: Medical data security sharing scheme based on consortium blockchain. J. Appl. Sci. 39, 123–134 (2021). https://doi.org/10.3969/j.issn.0255-8297.2021.01.011

    Article  Google Scholar 

  11. Zhang, A., Wang, X., Ye, X., **e, X.: Lightweight and fine-grained access control for cloud-fog-based electronic medical record sharing systems. Int. J. Commun. Syst. 34 (2021). https://doi.org/10.1002/dac.4909

  12. Wang, H., Song, Y.: Secure cloud-based ehr system using attribute-based cryptosystem and blockchain. J. Med. Syst. 42, 152 (2018). https://doi.org/10.1007/s10916-018-0994-6

    Article  Google Scholar 

  13. Fu, J., Wang, N., Cai, Y.: Privacy-preserving in healthcare blockchain systems based on lightweight message sharing. Sensors 20, 1898 (2020). https://doi.org/10.3390/s2007189

    Article  Google Scholar 

  14. Alshehri, S., Radziszowski, S.P., Raj, R.K.: Secure access for healthcare data in the cloud using ciphertext-policy attribute-based encryption. Paper presented at 2012 IEEE 28th international conference on data engineering, Arlington, USA, 1–5 Apr 2012 (2012)

  15. Fugkeaw, S., Sato, H.: Privacy-preserving access control model for big data cloud. Paper presented at 2015 international computer science and engineering cnference, Chiang Mai, Thailand, 23–26 Nov 2015 (2015)

  16. Luo, W., Wen, S., Cheng, Y.: Blockchain-based electronic health record sharing scheme. J. Comput. Appl. 40, 157–161 (2020). https://doi.org/10.11772/j.issn.1001-9081.2019060994

    Article  Google Scholar 

  17. Wang, Y., Zheng, X.: Patients privacy preserving algorithm of chinese electronic medical record based on rule and machine learning. Bei**g Biomed. Eng. 38, 492–497 (2019). https://doi.org/10.3969/j.issn.1002-3208.2019.05.008

    Article  Google Scholar 

  18. Liu, Y., Wang, Z., Wei, W.: A purpose-based privacy-aware access control mechanism for distributed medical documents sharing. Paper presented at 2015 international symposium on information technology in medicine and education, Hokkaido, Japan, 3–5 Aug 2012 (2012)

  19. Li, W., Huang, L., Luo, E.: Anonymous privacy protection model with individual l-diversity in mobile health. J. Front. Comput. Sci. Technol. 12, 761–768 (2018). https://doi.org/CNKI:SUN:KXTS.0.2018-05-009

  20. Salim, M.M., Park, J.H.: Federated learning-based secure electronic health record sharing scheme in medical informatics. IEEE J. Biomed. Health Info. 27, 617–624 (2023). https://doi.org/10.1109/JBHI.2022.3174823

    Article  Google Scholar 

  21. Wu, G., Wang, S., Ning, Z., Zhu, B.: Privacy-preserved electronic medical record exchanging and sharing: a blockchain-based smart healthcare system. IEEE J. Biomed. Health Info. 26, 1917–1927 (2022). https://doi.org/10.1109/JBHI.2021.3123643

    Article  Google Scholar 

  22. Dagher, G.G., Mohler, J., Milojkovic, M., Marella, P.B.: Ancile: privacy-preserving framework for access control and interoperability of electronic health records using blockchain technology. Sustain. Cities Soc. 39, 283–297 (2018). https://doi.org/10.1016/j.scs.2018.02.014

    Article  Google Scholar 

  23. Qh, Q.: Method on federated learning for the unbalanced data based on differential privacy protection. Harbin Institute of Technology (2020)

  24. Kumar, A., Kumar, R.: Privacy-preservation of vertically partitioned electronic health record using perturbation methods. Paper presented at 2019 6th international conference on computing for sustainable global development, New Delhi, India, 13–15 Mar 2019 (2019)

  25. Aggarwal, S., Kumar, A., Kumar, R.: The privacy preservation of patients’ health records using soft computing in Python. Paper presented at 2019 6th international conference on computing for sustainable global development, New Delhi, India, 13–15 Mar 2019 (2019)

  26. Bennett, C.H.: Quantum cryptography: public key distribution and coin tossing. Paper presented at Proc of IEEE international conference on computers, 13–15 Mar 1984 (1984)

  27. Wu, S., Du, J.: Electronic medical record security sharing model based on blockchain. Paper presented at Proceedings of the 3rd international conference on cryptography, security and privacy, Kuala Lumpur, Malaysia, 19–21 Jan 2019 (1984)

  28. Dan, B., Crescenzo, G.D., Ostrovsky, R., Persiano, G.: Public key encryption with keyword search. Paper presented at International conference on the theory and applications of cryptographic techniques, Interlaken, Switzerland, 2–6 May 2004 (2004)

  29. Tu, Y.F., **a, F., Yang, G.: Personal health record using attribute-based access control supporting attribute revocation. J. Chin. Comput. Syst. 38, 834–838 (2017)

    Google Scholar 

  30. Pournaghi, S.M., Bayat, M., Farjami, Y.: Medsba: a novel and secure scheme to share medical data based on blockchain technology and attribute-based encryptiony. J. Ambient Intell. Humaniz. Comput. 11, 4613–4641 (2020). https://doi.org/10.1007/s12652-020-01710-y

    Article  Google Scholar 

  31. Niu, S., **e, Y., Yang, P., Du, X.: Cloud-assisted attribute-based searchable encryption scheme on blockchain. J. Comput. Res. Dev. 58, 811–821 (2021). https://doi.org/10.7544/issn1000-1239.2021.20200041

    Article  Google Scholar 

  32. Luo, W., Wen, S., Cheng, Y.: Blockchain-based electronic health record sharing scheme. J. Comput. Appl. 40, 157–161 (2020)

    Google Scholar 

  33. Zhang, L., Zheng, Z., Yuan, Y.: Medsba: a novel and secure scheme to share medical data based on blockchain technology and attribute-based encryption. Acta Autom. Sin. 47, 2143–2153 (2021). https://doi.org/10.16383/j.aas.c200359

    Article  Google Scholar 

  34. Kacha, L., Zitouni, A., Djoudi, M.: Kab: a new k-anonymity approach based on black hole algorithm. J. King Saud Univ. Comput. Info. Sci. 34, 4075–4088 (2022). https://doi.org/10.1016/j.jksuci.2021.04.014

    Article  Google Scholar 

  35. Blake, C.L., Keogh, E., Merz, C.J.: Uci repository of machine learning databases. http://www.ics.uci.edu/~ mlearn/MLRepository.html (1998)

  36. Srivastava, A., Desai, Y.: Performance analysis of hyperledger fabric based blockchain for traceability in food supply chain. Paper presented at 2021 IEEE 2nd international conference on technology, engineering, management for societal impact using marketing, entrepreneurship and talent, Pune, India, 2–3 December 2021 (2021)

  37. Sukhwani, H., Nan, W., Trivedi, K.S., Rindos, A.: Performance modeling of hyperledger fabric (permissioned blockchain network). Paper presented at 2018 IEEE 17th international symposium on network computing and applications, Cambridge, USA, 2–3 Dec 2021 (2021)

Download references

Funding

This work is funded by Jilin development and reform commission construction fund (2020C020-2), the Education Department of Jilin Province with Grants No. JJKH20200577KJ, the project plan of science and technology development center of the Ministry of Education (No.2020ITA07031) and the Jilin Science and Technology Development Plan Project (Project No. 20210201083GX).

Author information

Author notes

  1. Yu Sun, Nianfeng Li, Lijun Song and Jun Zheng contributed equally to this work.

Authors and Affiliations

  1. School of Cyberspace Science and Technology, Bei**g Institute of Technology, Bei**g, 100081, China

    Dexin Zhu & Jun Zheng

  2. College of Computer Science and Technology, Changchun University, Changchun, 130022, Jilin, China

    Dexin Zhu, Yu Sun & Nianfeng Li

  3. Jilin Engineering Laboratory for Quantum Information Technology, Jilin Engineering Normal University, Changchun, 130022, Jilin, China

    Lijun Song

Authors
  1. Dexin Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yu Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nianfeng Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lijun Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jun Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

DZ: Methodology, Software, Writing—Original Draft. YS: Software, NL: Funding acquisition, Investigation. LS: Writing—Review and Editing, Project administration, Supervision, Validation. JZ: Conceptualization, Methodology, Writing—Original Draft.

Corresponding author

Correspondence to Jun Zheng.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhu, D., Sun, Y., Li, N. et al. Secure electronic medical records sharing scheme based on blockchain and quantum key. Cluster Comput 27, 3037–3054 (2024). https://doi.org/10.1007/s10586-023-04110-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-023-04110-x

Keywords

Search

Navigation