A Blockchain-Based Security Framework for a Highly Secure and Intelligent Healthcare Ecosystem
Priyanka Verma, Nitesh Bharot, Rutvij H. Jhaveri, John G. Breslin · Procedia Computer Science · 2025
The Internet of Medical Things (IoMT) has revolutionized healthcare by enabling real-time patient monitoring, remote diagnostics, and intelligent decision-making. However, IoMT data is prone to unauthorized access, resulting in a significant loss of privacy and security. To address these challenges, we propose a novel security framework which is based on XChaCha20-Encryption fortified with a Role-Based Access Control (RBAC) mechanism and a blockchain-integrated ML model to establish a highly secure and intelligent healthcare ecosystem. The proposed framework employs a Proof of Authority (PoA) consensus mechanism to validate and secure blockchain operations, making it particularly well-suited for real time IoMT applications. The performance of the system is evaluated on the WUSTL-EHMS-2020 dataset, demonstrating superior results over other state-of-the-art approaches. Moreover, the proposed framework achieves remarkable encryption and decryption times of 0.61 and 0.71 seconds, respectively. Along with data privacy proposed framework outperforms other methods and achieves an accuracy of 99.43% for detecting cyber attacks launched against IoMT data.