Journal of Cyber Security and Risk Auditing

Journal of Cyber Security and Risk Auditing

ISSN: 3079-5354 (Online)

Publishing model:

: Open access
Scopus Indexed
2025
14.7

CiteScore

Q1
open accessOpen Access

Article

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Blockchain-IPFS Integrated Permissioned Architecture for Secure, Scalable and Encrypted Healthcare Data Governance

by 

Reema Shaheen Orcid link ;

Adnan Shahid Khan Orcid link ;

Irshad Ahmed Abbasi Orcid link ;

Yonis Gulzar Orcid link

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Published: 2026

Abstract

The widespread adoption of Medical Internet of Things (MIoT) technologies has transformed smart hospitals into highly data-intensive environments. Wearable sensors, intensive care unit (ICU) monitoring devices, and clinical information systems continuously generate massive volumes of sensitive biomedical data. Traditional centralized storage systems, nevertheless, are prone to a single-point-of-failure, limited scalability, limited control over access, and data corruption. This paper suggests a permissioned blockchain-based healthcare data governance framework combining Hyperledger Fabric and InterPlanetary File System (IPFS) to provide scalable, verified, and secure storage of massive medical records. In the suggested implementation, the clinical datasets will be stored off-chain in IPFS and the cryptographic hash of them anchored to the blockchain to allow immutable integrity checking. With smart contracts, role-based access control in a fine-grained manner, and audit logging is carried out automatically. This makes it possible to share data among the healthcare stakeholders with security and traceability. Experimental evaluation conducted using Hyperledger Caliper and Prometheus monitoring tools demonstrates that the proposed architecture achieves transaction throughput of 145-162 TPS, reduces data retrieval latency by approximately 38%, and lowers on-chain storage overhead by nearly 72% compared to conventional blockchain-only storage models. The proposed hybrid framework offers a practical and privacy-preserving solution for managing large-scale healthcare data while supporting regulatory compliance, secure interoperability, and scalable digital hospital ecosystems.

Keywords

Medical Internet of Things (MIoT)Edge Artificial IntelligenceClinical Decision SupportIntrusion Detection SystemCybersecurityand Real-Time Healthcare Monitoring.

References

  1. Moreno-Olmedo, E., Murray, D., George, B., Ford, D., Dallas, N., Das, P., ... & Camilleri, P. (2025). Salvage stereotactic MR-Guided adaptive radiotherapy (SMART) re-irradiation for locally recurrent prostate Cancer: Clinical and dosimetric outcomes. Clinical and Translational Radiation Oncology, 101037. https://doi.org/10.1016/j.ctro.2025.101037
  2. Yadegari, F., & Asosheh, A. (2025). A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS). Journal of Big Data, 12(1), 149. https://doi.org/10.1186/s40537-025-01197-4
  3. Daniel, E., & Tschorsch, F. (2022). IPFS and friends: A qualitative comparison of next generation peer-to-peer data networks. IEEE Communications Surveys & Tutorials, 24(1), 31-52. https://doi.org/10.1109/COMST.2022.3143147
  4. El Arab, R. A., Almoosa, Z., Alkhunaizi, M., Abuadas, F. H., & Somerville, J. (2025). Artificial intelligence in hospital infection prevention: an integrative review. Frontiers in Public Health, 13, 1547450. https://doi.org/10.3389/fpubh.2025.1547450
  5. Zaabar, B., Cheikhrouhou, O., Jamil, F., Ammi, M., & Abid, M. (2021). HealthBlock: A secure blockchain-based healthcare data management system. Computer Networks, 200, 108500. https://doi.org/10.1016/j.comnet.2021.108500
  6. Kadar, M. A., Reddy, S. Y., Parmar, P., Kaur, J., Raju, V., & Katta, S. K. R. (2025, August). Blockchain and machine learning approaches to enhancing data privacy and securing distributed systems. In 2025 IEEE 6th India Council International Subsections Conference (INDISCON) (pp. 1-6). IEEE. https://doi.org/10.1109/INDISCON66021.2025.11251973
  7. Amiri, M. J., Agrawal, D., & El Abbadi, A. (2025). Blockchain-Enabled Large-Scale Transaction Management. Springer. https://doi.org/10.1007/978-3-031-91058-6
  8. Luo, D., Sun, G., Fan, M., Yu, H., & Niyato, D. (2025). Scalable Storage Optimization for Blockchain-Based Cross-Domain Authentication in IoT. IEEE Transactions on Network and Service Management. https://doi.org/10.1109/TNSM.2025.3591086
  9. Shahnaz, A., Qamar, U., & Khalid, A. (2019). Using blockchain for electronic health records. IEEE access, 7, 147782-147795. https://doi.org/10.1109/ACCESS.2019.2946373
  10. Othman, S. B., & Getahun, M. (2025). Leveraging blockchain and IoMT for secure and interoperable electronic health records. Scientific Reports, 15(1), 12358. https://doi.org/10.1038/s41598-025-95531-8
  11. Natarajan, M., Bharathi, A., Varun, C. S., & Selvarajan, S. (2025). Quantum secure patient login credential system using blockchain for electronic health record sharing framework. Scientific Reports, 15(1), 4023. https://doi.org/10.1038/s41598-025-86658-9
  12. She, W., Ma, J., Xia, K., Cheng, K., Zhang, S., Liu, W., & Tian, Z. (2025). A blockchain-based one-to-many traceless covert communication model for secure high-capacity information transmission. Peer-to-Peer Networking and Applications, 18(6), 289. https://doi.org/10.1007/s12083-025-02118-1
  13. Tiwari, K., & Kumar, S. (2025). A healthcare data management system: blockchain-enabled IPFS providing algorithmic solutions for increased privacy-preserving scalability and interoperability. The Journal of Supercomputing, 81(8), 895. https://doi.org/10.1007/s11227-025-07400-w
  14. Mishra, R. K., Yadav, R. K., & Nath, P. (2025). Integration of Blockchain and IPFS: healthcare data management & sharing for IoT Environment. Multimedia Tools and Applications, 84(23), 27229-27250. https://doi.org/10.1007/s11042-024-20092-3
  15. Singh, M. K., Kumar Pippal, S., & Sharma, V. (2025). A blockchain-IPFS framework for secure, scalable, and interoperable healthcare data management. SN Computer Science, 6(5), 400. https://doi.org/10.1007/s42979-025-03936-z
  16. Mallick, S. R., Lenka, R. K., & Sobhanayak, S. (2025). Secure and scalable dual blockchain and IPFS driven IoT ecosystem for next gen healthcare systems. Scientific Reports, 15(1), 41064. https://doi.org/10.1038/s41598-025-25006-3
  17. Katoon, P. M., & Turukmane, A. V. (2025). Interoperable blockchain network for healthcare data using Fabric, Ethereum and IPFS. Discover Artificial Intelligence, 5(1), 1-27. https://doi.org/10.1007/s44163-025-00564-7
  18. Kumar, S., & Kumar, J. S. (2025). Federated blockchain and IPFS based secure interoperable healthcare system. Cluster Computing, 28(12), 794. https://doi.org/10.1007/s10586-025-05511-w
  19. Ouanes, K., & Farhah, N. (2024). Effectiveness of artificial intelligence (AI) in clinical decision support systems and care delivery. Journal of medical systems, 48(1), 74.
  20. BHARATHI, M. C., & LAWANYA, S. M. (2024). Secure Sharing Architecture of Personal Healthcare Data Using Private Permissioned Blockchain for Telemedicine. IEEE ACCESS, 12, 106645-106657. https://doi.org/10.1109/access.2024.3436075
  21. Ghadi, Y. Y., Mazhar, T., Shahzad, T., Amir Khan, M., Abd-Alrazaq, A., Ahmed, A., & Hamam, H. (2024). The role of blockchain to secure internet of medical things. Scientific Reports, 14(1), 18422. https://doi.org/10.1038/s41598-024-68529-x
  22. Reddy, N. R., Suryadevara, S., Reddy, K. G. R., Umamaheswari, R., Guttula, R., & Kotoju, R. (2025). Quantum secured blockchain framework for enhancing post quantum data security. Scientific Reports, 15(1), 31048. https://doi.org/10.1038/s41598-025-16315-8
  23. Yaqoob, I., Salah, K., Jayaraman, R., & Al-Hammadi, Y. (2022). Blockchain for healthcare data management: opportunities, challenges, and future recommendations. Neural Computing and Applications, 34(14), 11475-11490. https://doi.org/10.1007/s00521-020-05519-w
  24. Datta, S., & Namasudra, S. (2024). Blockchain-based smart contract model for securing healthcare transactions by using consumer electronics and mobile-edge computing. IEEE Transactions on Consumer Electronics, 70(1), 4026-4036. https://doi.org/10.1109/TCE.2024.3357115
  25. Ye, J., Ma, M., & Abuhashish, M. (2025). The collaborations among healthcare systems, research institutions, and industry on artificial intelligence research and development. Frontiers in Artificial Intelligence, 8, 1694145. https://doi.org/10.3389/frai.2025.1694145
  26. Btoush, M. H., Mehmood, S., Al Ghamdi, M. A., Amin, R., & Zakaria, M. D. (2026). An Efficient Computing Offloading for Network Resources in IoT Big Data Using Deep Reinforcement Learning. Software: Practice and Experience, 56(5), 525-550. https://doi.org/10.1002/spe.70057
  27. Mohammed, M. A., Lakhan, A., Zebari, D. A., Abd Ghani, M. K., Marhoon, H. A., Abdulkareem, K. H., ... & Martinek, R. (2024). Securing healthcare data in industrial cyber-physical systems using combining deep learning and blockchain technology. Engineering Applications of Artificial Intelligence, 129, 107612. https://doi.org/10.1016/j.engappai.2023.107612
  28. Chakravarthy, D. G., Gopi, R., Murugan, S., & Joseph, E. R. (2025). Enhancing confidentiality and access control in electronic health record systems using a hybrid hashing blockchain framework. Scientific Reports, 15(1), 30379. https://doi.org/10.1038/s41598-025-13831-5
  29. Orabi, M. M., Emam, O., & Fahmy, H. (2025). Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review. Journal of Big Data, 12(1), 55. https://doi.org/10.1186/s40537-025-01099-5
  30. Bin Mohd Yaziz, U., Zamri, M. I. B., Yahya, N. B., Maidin, S. S. B., & Reegu, F. A. (2025). Blockchain-Based Traceability and Age Verification for Nicotine Products. Impact in Computics, 1, 5, https://doi.org/10.65500/computics-2025-005
  31. Amadi, R., Kayes, A. S. M., Pardede, E., Chowdhury, M. J. M., & Ahmed, K. (2025). A Comprehensive Review of Risk Assessment Frameworks in Blockchain Applications: Research Gaps and Key Lessons. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3590963
  32. Baba, M. K., Ya’u, B. I., Zambuk, F. U., Magombe, Y., Musa, M. A., & Alli, A. (2025). Artificial Intelligence-Driven Intrusion Detection Systems for Secure Healthcare IoT: A Comprehensive Review. Impact in Computics, 1, 3, https://doi.org/10.65500/computics-2025-003
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