i-manager Publications

Blockchain-Based Secure Architecture for Electronic Health Records Management using Smart Contracts and Attribute-Based Encryption

Suneetha Eluri*, Dhana Lakshmi Gorle **, Kanthi Rekha Miriyala***

*-*** Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh, India.

Periodicity:January - June'2025
DOI : https://doi.org/10.26634/jdf.3.1.21747

Abstract

Electronic Health Records (EHRs) are essential for modern healthcare systems but continue to face significant challenges related to security, interoperability, and patient-centered control. This paper presents a novel Blockchain-based Electronic Health Records Abstract System (BEAS) that integrates Ethereum smart contracts with Attribute-Based Encryption (ABE) and the Elliptic Curve Integrated Encryption Scheme (ECIES) to strengthen data security and enhance patient autonomy. The system utilizes the InterPlanetary File System (IPFS) for efficient off-chain storage and employs Attribute-Based Access Control (ABAC) to ensure scalable and flexible data access. Experimental results show a 30% reduction in transaction execution time compared to conventional systems, along with improved access control and data integrity. Future enhancements will focus on optimizing encryption performance, expanding the roles of healthcare providers such as nurses, and exploring scalable storage solutions to further improve system efficiency.

Keywords

Blockchain, Ethereum, Smart Contracts, Data Security, Decentralized Storage.

How to Cite this Article?

Eluri, S., Gorle, D. L., and Miriyala, K. R. (2025). Blockchain-Based Secure Architecture for Electronic Health Records Management using Smart Contracts and Attribute-Based Encryption. i-manager’s Journal on Digital Forensics & Cyber Security, 3(1), 1-10. https://doi.org/10.26634/jdf.3.1.21747

References

[1]. Ali, A., Ali, H., Saeed, A., Ahmed Khan, A., Tin, T. T., Assam, M., & Mohamed, H. G. (2023). Blockchain- powered healthcare systems: Enhancing scalability and security with hybrid deep learning. Sensors, 23(18), 7740.

[2]. Bhardwaj, A., Shah, S. B. H., Shankar, A., Alazab, M., Kumar, M., & Gadekallu, T. R. (2021). Penetration testing framework for smart contract blockchain. Peer-to-Peer Networking and Applications, 14, 2635-2650.

[3]. Chen, H. S., Jarrell, J. T., Carpenter, K. A., Cohen, D. S., & Huang, X. (2019). Blockchain in healthcare: A patient- centered model. Biomedical Journal of Scientific & Technical Research, 20(3), 15017-15022.

[4]. Chohan, U. W. (2022). Cryptocurrencies: A Brief Thematic Review. SSRN.

[5]. Dey, T., Jaiswal, S., Sunderkrishnan, S., & Katre, N. (2017). HealthSense: A medical use case of Internet of Things and blockchain. In 2017 International Conference on Intelligent Sustainable Systems (ICISS) (pp. 486-491). IEEE.

[6]. Gordon, W. J., & Catalini, C. (2018). Blockchain technology for healthcare: Facilitating the transition to patient-driven interoperability. Computational and Structural Biotechnology Journal, 16, 224-230.

[7]. Grishchenko, I., Maffei, M., & Schneidewind, C. (2018). A semantic framework for the security analysis of ethereum smart contracts. In Principles of Security and Trust: 7th International Conference, POST 2018, Held As Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Thessaloniki, Greece, April 14-20, 2018, Proceedings 7 (pp. 243-269). Springer International Publishing.

[8]. Gupta, S., & Sadoghi, M. (2021). Blockchain transaction processing. arXiv preprint arXiv:2107.11592.

[9]. Hasanika, D., Dilhara, R., Liyanage, D., Bandaranayake, A., & Deegalla, S. (2021). Data mining system for predicting a winning cricket team. In 2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS) (pp. 92-97). IEEE.

[10]. He, X., Alqahtani, S., & Gamble, R. (2018). Toward privacy-assured health insurance claims. In 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (pp. 1634-1641). IEEE.

[11]. Inter Planatery File System (IPFS). (n.d.). Building Blocks for a Better Web.

[12]. Kuo, T. T., Kim, H. E., & Ohno-Machado, L. (2017). Blockchain distributed ledger technologies for biomedical and health care applications. Journal of the American Medical Informatics Association, 24(6), 1211-1220.

[13]. Lande, S., & Zunino, R. (2018). SoK: Unraveling Bitcoin Smart Contracts. Lecture Notes in Computer Science.

[14]. Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Ignota Books.

[15]. Pournaghi, S. M., Bayat, M., & Farjami, Y. (2020). MedSBA: A novel and secure scheme to share medical data based on blockchain technology and attribute- based encryption. Journal of Ambient Intelligence and Humanized Computing, 11(11), 4613-4641.

[16]. SaberiKamarposhti, M., Ng, K. W., Chua, F. F., Abdullah, J., Yadollahi, M., Moradi, M., & Ahmadpour, S. (2024). Post-quantum healthcare: A roadmap for cybersecurity resilience in medical data. Heliyon, 10(10), e31406.

[17]. Satti, F. A., Khan, W. A., Lee, G., Khattak, A. M., & Lee, S. (2019). Resolving data interoperability in ubiquitous health profile using semi-structured storage and processing. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 762-770).

[18]. Sharma, Y., & Balamurugan, B. (2020). Preserving the privacy of electronic health records using blockchain. Procedia Computer Science, 173, 171-180.

[19]. Vehko, T., Hyppönen, H., Puttonen, S., Kujala, S., Ketola, E., Tuukkanen, J., & Heponiemi, T. (2019). Experienced time pressure and stress: Electronic health records usability and information technology competence play a role. BMC Medical Informatics and Decision Making, 19, 1-9.

[20]. Vujičić, D., Jagodić, D., & Ranđić, S. (2018). Blockchain technology, bitcoin, and Ethereum: A brief overview. In 2018 17th International Symposium Infoteh- Jahorina (Infoteh) (pp. 1-6). IEEE.

[21]. Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017). An overview of blockchain technology: Architecture, consensus, and future trends. In 2017 IEEE International Congress on Big Data (Bigdata Congress) (pp. 557-564). Ieee.

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Blockchain-Based Secure Architecture for Electronic Health Records Management using Smart Contracts and Attribute-Based Encryption

Abstract

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