Fusion: Practice and Applications

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Volume 18 , Issue 2 , PP: 182-199, 2025 | Cite this article as | XML | Html | PDF | Full Length Article

RBHAP-HLB framework with high data privacy for secured EHR storage

R. Saranya 1 , A. Murugan 2 *

  • 1 Research Scholar, Department of Data Science and Business Systems, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India - (sr5287@srmist.edu.in)
  • 2 Professor, Department of Data Science and Business Systems, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India - (murugana@srmist.edu.in)
  • Doi: https://doi.org/10.54216/FPA.180214

    Received: July 19, 2024 Revised: October 18, 2024 Accepted: January 12, 2025
    Abstract

    For data security and integrity, the sharing of Electronic Health Records (EHRs) utilizing blockchain is becoming a vital vision. However, blockchain and storage wielded in prevailing studies arises security and scalability issues. To overcome these issues, this paper proposes a novel Quadratic Interpolation-based Brownian Motion-Double Elliptic Curve Cryptography (QI-BM-DECC)-centric EHR securing in Hyper-Ledger Blockchain (HLB) with Inter-Planetary File System (IPFS). Primarily, the patient and doctor are registered on the hospital website; then, the keys and QR codes are generated for the patient. After that, the patient login with the credential details, QR code, and the purpose of login. The patient did the online consultation booking after successful login; then, the consultation is done grounded on the time scheduled by the doctor. Afterward, the patient securely uploads the EHR on the HLB with IPFS utilizing QI-BM-DECC. Meanwhile, an attribute-centric hashed access policy is created with the selected attributes. After that, utilizing the Mean Public keys- Digital Signature Algorithm (MP-DSA) approach, the hashed access policy is signed. When a doctor request for EHR access, the signature is verified and the access request is sent to the patient. Now, the doctor downloads the EHR from IPFS after being accepted by the patient. The experiential outcomes exhibited the proposed technique’s dominance over the other mechanisms.

    Keywords :

    Electronic Health Record (EHR) , Hyper-Ledger Blockchain (HLB) , Inter-Planetary File System (IPFS) , Directed Acyclic Graph (DAG) , Hashed access policy

    References

    [1] M. A. Saberi, M. Adda, and H. McHeick, “Break-Glass Conceptual Model for Distributed EHR Management System Based on Blockchain, IPFS and ABAC,” Procedia Computer Science, vol. 198, pp. 185–192, 2021, doi: 10.1016/j.procs.2021.12.227.

    [2] Y. Sharma and B. Balamurugan, “Preserving the Privacy of Electronic Health Records Using Blockchain,” Procedia Computer Science, vol. 173, pp. 171–180, 2020, doi: 10.1016/j.procs.2020.06.021.

    [3] J. Oh et al., “A Secure Personal Health Record Sharing System with Key Aggregate Dynamic Searchable Encryption,” Electronics, vol. 11, no. 19, pp. 1–24, 2022, doi: 10.3390/electronics11193199.

    [4] A. Ghani, A. Zinedine, and M. El Mohajir, “A Blockchain-Based Secure PHR Data Storage and Sharing Framework,” in 2020 6th IEEE Congress on Information Science and Technology (CiSt), 2020, pp. 162–166.

    [5] S. S. R. Krishnan et al., “A Blockchain-Based Credibility Scoring Framework for Electronic Medical Records,” in 2020 IEEE Globecom Workshops (GC Wkshps), 2020, pp. 1–6, doi: 10.1109/GCWkshps50303.2020.9367459.

    [6] G. Subathra, A. Antonidoss, and B. K. Singh, “Decentralized Consensus Blockchain and IPFS-Based Data Aggregation for Efficient Data Storage Scheme,” Security and Communication Networks, vol. 2022, pp. 1–13, 2022, doi: 10.1155/2022/3167958.

    [7] A. Mukherji and N. Ganguli, “Efficient and Scalable Electronic Health Record Management Using Permissioned Blockchain Technology,” in 2020 4th International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech), 2020, pp. 1–6, doi: 10.1109/IEMENTech51367.2020.9270106.

    [8] D. C. Nguyen, P. N. Pathirana, M. Ding, and A. Seneviratne, “Blockchain and Edge Computing for Decentralized EMRs Sharing in Federated Healthcare,” in 2020 IEEE Global Communications Conference (GLOBECOM), 2020, pp. 1–6, doi: 10.1109/GLOBECOM42002.2020.9347951.

    [9] S. Vardhini, S. N. Dass, Sahana, and R. Chinnaiyan, “A Blockchain-Based Electronic Medical Health Records Framework Using Smart Contracts,” in 2021 International Conference on Computer, Communication, and Informatics (ICCCI), 2021, pp. 27–30, doi: 10.1109/ICCCI50826.2021.9402689.

    [10] W. Zhan et al., “Incentive EMR Sharing System Based on Consortium Blockchain and IPFS,” Healthcare, vol. 10, no. 10, pp. 1–27, 2022, doi: 10.3390/healthcare10101840.

    [11] S. Tanwar, K. Parekh, and R. Evans, “Blockchain-Based Electronic Healthcare Record System for Healthcare 4.0 Applications,” Journal of Information Security and Applications, vol. 50, p. 102407, 2020, doi: 10.1016/j.jisa.2019.102407.

    [12] F. Li et al., “EHRChain: A Blockchain-Based EHR System Using Attribute-Based and Homomorphic Cryptosystem,” IEEE Transactions on Services Computing, vol. 15, no. 5, pp. 2755–2765, 2022, doi: 10.1109/TSC.2021.3078119.

    [13] M. Antwi et al., “The Case of HyperLedger Fabric as a Blockchain Solution for Healthcare Applications,” Blockchain Research and Applications, vol. 2, no. 1, p. 100012, 2021, doi: 10.1016/j.bcra.2021.100012.

    [14] K. Shuaib, J. Abdella, F. Sallabi, and M. A. Serhani, “Secure Decentralized Electronic Health Records Sharing System Based on Blockchains,” Journal of King Saud University - Computer and Information Sciences, vol. 34, no. 8, pp. 5045–5058, 2022, doi: 10.1016/j.jksuci.2021.05.002.

    [15] J. Kaur, R. Rani, and N. Kalra, “Blockchain-Based Framework for Secured Storage, Sharing, and Querying of Electronic Healthcare Records,” Concurrency and Computation: Practice and Experience, vol. 33, no. 20, pp. 1–24, 2021, doi: 10.1002/cpe.6369.

    [16] V. Mani et al., “Hyperledger Healthchain: Patient-Centric IPFS-Based Storage of Health Records,” Electronics, vol. 10, no. 23, pp. 1–23, 2021, doi: 10.3390/electronics10233003.

    [17] R. K. Marangappanavar and K. Kiran, “Inter-Planetary File System Enabled Blockchain Solution for Securing Healthcare Records,” in 2020 3rd ISEA International Conference on Security and Privacy (ISEA-ISAP), 2020, pp. 171–178, doi: 10.1109/ISEA-ISAP49340.2020.235016.

    [18] Z. Sun et al., “A Blockchain-Based Secure Storage Scheme for Medical Information,” EURASIP Journal on Wireless Communications and Networking, vol. 2022, no. 1, pp. 1–25, 2022, doi: 10.1186/s13638-022-02122-6.

    [19] K. Saravanan et al., “WMLP: Web-Based Multi-Layer Protocols for Emergency Data Transmission in Mobile Ad Hoc Network,” in International Conference of Computer Sciences and Renewable Energies (ICCSRE), Agadir, Morocco, July 23–24, 2021, doi: 10.1051/e3sconf/202129701065.

    [20] S. Kumarganesh et al., “A Novel Analytical Framework Developed for Wireless Heterogeneous Networks for Video Streaming Applications,” Journal of Mathematics, vol. 2022, no. 1, pp. 1–7, 2022, doi: 10.1155/2022/2100883.

    [21] K. Saravanan et al., “Power Adjustment Algorithm for Higher Throughput in Mobile Ad Hoc Networks,” in International Conference of Computer Sciences and Renewable Energies (ICCSRE), Agadir, Morocco, July 23–24, 2021, doi: 10.1051/e3sconf/202129701064.

    [22] N. Sugirtham et al., “Modified Playfair for Text File Encryption and Meticulous Decryption with Arbitrary Fillers by Septenary Quadrate Pattern,” International Journal of Networked and Distributed Computing, vol. 12, pp. 108–118, 2024, doi: 10.1007/s44227-023-00019-4.

    [23] K. Baskar, K. Muthumanickam, P. Vijayalakshmi, et al., “A Strong Password Manager Using Multiple Encryption Techniques,” Journal of The Institution of Engineers (India): Series B, 2024, doi: 10.1007/s40031-024-01144-6.

    Cite This Article As :
    Saranya, R.. , Murugan, A.. RBHAP-HLB framework with high data privacy for secured EHR storage. Fusion: Practice and Applications, vol. , no. , 2025, pp. 182-199. DOI: https://doi.org/10.54216/FPA.180214
    Saranya, R. Murugan, A. (2025). RBHAP-HLB framework with high data privacy for secured EHR storage. Fusion: Practice and Applications, (), 182-199. DOI: https://doi.org/10.54216/FPA.180214
    Saranya, R.. Murugan, A.. RBHAP-HLB framework with high data privacy for secured EHR storage. Fusion: Practice and Applications , no. (2025): 182-199. DOI: https://doi.org/10.54216/FPA.180214
    Saranya, R. , Murugan, A. (2025) . RBHAP-HLB framework with high data privacy for secured EHR storage. Fusion: Practice and Applications , () , 182-199 . DOI: https://doi.org/10.54216/FPA.180214
    Saranya R. , Murugan A. [2025]. RBHAP-HLB framework with high data privacy for secured EHR storage. Fusion: Practice and Applications. (): 182-199. DOI: https://doi.org/10.54216/FPA.180214
    Saranya, R. Murugan, A. "RBHAP-HLB framework with high data privacy for secured EHR storage," Fusion: Practice and Applications, vol. , no. , pp. 182-199, 2025. DOI: https://doi.org/10.54216/FPA.180214