Trusted Medical Data Sharing Framework for Edge Computing

Abstract:-The rapid growth of the Internet of Medical Things (IoMT), edge computing, and cloud healthcare systems has transformed modern healthcare services. However, secure medical data sharing remains a major challenge due to privacy leakage, unauthorized access, data tampering, and high communication latency. Traditional centralized healthcare systems also suffer from scalability issues and single-point failures. This paper proposes a Trusted Medical Data Sharing Framework (TMDSF) integrating Edge Computing, Blockchain, IPFS, and Ciphertext-Policy Attribute-Based Encryption (CP-ABE) for secure and decentralized healthcare data exchange. Edge nodes provide low-latency processing, blockchain ensures decentralized trust and immutable record management, CP-ABE enables fine-grained access control, and IPFS offers distributed storage for encrypted medical records. A mathematical model is developed for latency, throughput, encryption complexity, energy consumption, and security analysis. The framework is validated using Python-based simulation and blockchain transaction emulation. Experimental results show that the proposed TMDSF framework achieves 38% lower latency, 42% higher throughput, 51% reduced attack success rate, and 33% lower encryption overhead compared to traditional healthcare systems. The proposed framework is suitable for smart hospitals, telemedicine, remote patient monitoring, and next-generation digital healthcare infrastructures.

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