A Blockchain-Based Security Framework for a Highly Secure and Intelligent Healthcare Ecosystem

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.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.492
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

A Blockchain-Based Security Framework for a Highly Secure and Intelligent Healthcare Ecosystem

Priyanka Verma, Rutvij H. Jhaveri, Nitesh Bharot, John G. Breslin
Procedia Computer Science
Blockchain Technology Applications and Security
article

A Blockchain-Based Security Framework for a Highly Secure and Intelligent Healthcare Ecosystem

Priyanka Verma, Rutvij H. Jhaveri, Nitesh Bharot, John G. Breslin
article en

Abstract

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.

Procedia Computer ScienceVol. 270
Ollscoil na Gaillimhe – University of Galway (IE), Pandit Deendayal Energy University (IN)
Openalex Percentile: Top 53%
Blockchain Technology Applications and Security
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