Skip to main content
Log in

Hybrid blockchain based medical data sharing with the optimized CP-ABE for e-Health systems

  • Original Research
  • Published:
International Journal of Information Technology Aims and scope Submit manuscript

Abstract

While e-Health systems must prioritise security and privacy, sharing medical data can help improve diagnostic accuracy. Because of its immutability, Blockchain (BC) is now being suggested as an exciting solution for sharing Personal Health Information (PHI). However, sharing PHI must improve patient privacy and security. As a result, this paper describes a secure medical data sharing system. Private BC, Consortium BC (CBC), and optimized cryptography are all included in the proposed system. To ensure patient privacy, PHI is encrypted using optimised ciphertext policy attribute based encryption (CP-ABE). In particular, replicated attributes amendment (RAA) is proposed to improve CP-ABE performance. For each replicated attribute, this RAA achieves a single share value. PHI ciphertexts are stored as blocks in the hospital’s private BC. Furthermore, the PHI keyword is saved to the CBC. By validating the keyword and getting access to the private BC, the doctor may retrieve all patient’s PHI. The article’s findings show that the proposed system achieves lower storage overhead, encryption time, and decryption time.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Availability of data and material

Data sharing is not applicable to this article because of proprietary nature.

Code availability

Code sharing is not applicable to this article because of proprietary nature.

References

  1. Schiza E, Kyprianou T, Petkov N, Schizas C (2019) Proposal for an eHealth based ecosystem serving national healthcare. IEEE J Biomed Health Inform 23(3):1346–1357

    Article  Google Scholar 

  2. Firouzi F, Farahani B, Ibrahim M, Chakrabarty K (2018) Keynote Paper: from EDA to IoT e-Health: promises, challenges, and solutions. IEEE Trans Comput Aided Des Integr Circuits Syst 37(12):2965–2978

    Article  Google Scholar 

  3. Lin X, Lu R, Shen X, Nemoto Y, Kato N (2009) Sage: a strong privacy-preserving scheme against global eavesdropping for e-Health systems. IEEE J Select Areas Commun 27(4):365–378

    Article  Google Scholar 

  4. Tsang G, Zhou S, Xie X (2021) Modeling large sparse data for feature selection: hospital admission predictions of the dementia patients using primary care electronic health records. IEEE J Transl Eng Health Med 9:1–13

    Article  Google Scholar 

  5. Shickel B, Tighe P, Bihorac A, Rashidi P (2018) Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis. IEEE J Biomed Health Inform 22(5):1589–1604

    Article  Google Scholar 

  6. Xia Q, Sifah E, Asamoah K, Gao J, Du X, Guizani M (2017) MeDShare: trust-less medical data sharing among cloud service providers via blockchain. IEEE Access 5:14757–14767

    Article  Google Scholar 

  7. Kassem J, De Laat C, Taal A, Grosso P (2020) The EPI framework: a dynamic data sharing framework for healthcare use cases. IEEE Access 8:179909–179920

    Article  Google Scholar 

  8. Ma H, Zhang R, Yang G, Song Z, He K, Xiao Y (2020) Efficient fine-grained data sharing mechanism for electronic medical record systems with mobile devices. IEEE Trans Depend Secure Comput 17(5):1026–1038

    Article  Google Scholar 

  9. Hyla T, Pejaś J (2019) eHealth integrity model based on permissioned blockchain. Future Internet 11(3):76

    Article  Google Scholar 

  10. Zhang X, Poslad S, Ma Z (2018) Block-based access control for blockchain-based electronic medical records (EMRs) query in e-Health. In: 2018 IEEE Global Communications Conference (GLOBECOM), pp 1–7. IEEE

  11. Khanday AMUD, Rabani ST, Khan QR, Rouf N, Din MMU (2020) Machine learning based approaches for detecting COVID-19 using clinical text data. Int J Inform Technol 12:731–739

    Google Scholar 

  12. Manoj-Kumar T, Karthigaikumar P (2020) A novel method of improvement in advanced encryption standard algorithm with dynamic shift rows, sub byte and mixcolumn operations for the secure communication. Int J Inform Technol 12:825–830

    Google Scholar 

  13. Anjana, Singh A (2019) Security concerns and countermeasures in cloud computing: a qualitative analysis. Int J Inform Technol 11:683–690

    Google Scholar 

  14. Shaikh TA, Ali R (2019) Big data for better Indian healthcare. Int J Inform Technol 11:735–741

    Google Scholar 

  15. Cheng X, Chen F, Xie D, Sun H, Huang C (2020) Design of a secure medical data sharing scheme based on blockchain. J Med Syst 44(2):52

    Article  Google Scholar 

  16. Sarkar A, Sarkar M (2021) Tree parity machine guided patients’ privileged based secure sharing of electronic medical record: cybersecurity for telehealth during COVID-19. Multimed Tools Appl 80(14):21899–21923

    Article  Google Scholar 

  17. Pournaghi S, Bayat M, Farjami Y (2020) MedSBA: a novel and secure scheme to share medical data based on blockchain technology and attribute-based encryption. J Ambient Intell Humaniz Comput 11(11):4613–4641

    Article  Google Scholar 

  18. Florence M, Suresh D (2017) Enhanced secure sharing of PHR’s in cloud using user usage based attribute based encryption and signature with keyword search. Clust Comput 22(6):13119–13130

    Google Scholar 

  19. Chen C, Deng X, Kumar S, Kumari S, Islam S (2021) Blockchain-based medical data sharing schedule guaranteeing security of individual entities. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-021-03448-7

    Article  Google Scholar 

  20. Zou R, Lv X, Zhao J (2021) SPChain: Blockchain-based medical data sharing and privacy-preserving e-Health system. Inf Process Manag 58(4):102604

    Article  Google Scholar 

  21. Qiu H, Qiu M, Liu M, Memmi G (2020) Secure health data sharing for medical cyber-physical systems for the healthcare 4.0. IEEE J Biomed Health Inform 24(9):2499–2505

    Article  Google Scholar 

  22. Patel K (2019) Performance analysis of AES, DES and Blowfish cryptographic algorithms on small and large data files. Int J Inf Technol 11:813–819

    Google Scholar 

Download references

Funding

The authors declare that they have competing interests and funding.

Author information

Authors and Affiliations

Authors

Contributions

All authors read and approved the final manuscript.

Corresponding author

Correspondence to Anil Kumar Mishra.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

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

Mishra, A.K., Mohapatra, Y. Hybrid blockchain based medical data sharing with the optimized CP-ABE for e-Health systems. Int. j. inf. tecnol. 16, 121–130 (2024). https://doi.org/10.1007/s41870-023-01625-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41870-023-01625-9

Keywords

Navigation