Sustainable Healthcare Systems: A Blockchain-IoT Framework for Security and Privacy

A new research on sustainability has highlighted the importance of security and privacy in the Internet of Medical Things (IoMT) sector, particularly in the development of Healthcare 5.0. The study proposes a Federated Blockchain-IoT Framework for Sustainable Healthcare Systems (FBCI-SHS) to address concerns around data privacy, ownership, and regulatory adherence. The framework utilizes federated learning to ensure patient data confidentiality and security, while also providing a secure health monitoring system. The research demonstrates a high prediction accuracy for intrusion detection and disease detection, and a high efficiency in proactive healthcare management.

Key Takeaways:

• The Internet of Medical Things (IoMT) sector has advanced rapidly in recent years, emphasizing the need for security and privacy considerations.
• Machine learning (ML) and blockchain (BC) technologies have significantly improved the functionalities and services of Healthcare 5.0.
• The proposed Federated Blockchain-IoT Framework for Sustainable Healthcare Systems (FBCI-SHS) addresses concerns around data privacy, ownership, and regulatory adherence.
• Federated learning (FL) is used to ensure patient data confidentiality and security, while also providing a secure health monitoring system.
• The framework has achieved a high data privacy rate of 98.73%, intrusion detection efficiency of 97.16%, disease detection accuracy of 96.425, proactive healthcare management of 98.37%, and interoperability of 96.

Statistics:

• 98.73% data privacy rate achieved by the proposed FBCI-SHS framework.
• 97.16% intrusion detection efficiency achieved by the proposed FBCI-SHS framework.
• 96.425 disease detection accuracy achieved by the proposed FBCI-SHS framework.
• 98.37% proactive healthcare management achieved by the proposed FBCI-SHS framework.
• 96 interoperability achieved by the proposed FBCI-SHS framework.

Sources:

• "Blockchain framework with IoT device using federated learning for sustainable healthcare systems." Scientific Reports, 2025;15(1):26736.
• Nature Publishing Group. Scientific Reports. www.nature.com/srep/
• REVA University. B. Bhasker, School of Computing and Information Technology, REVA University, Bangalore, Karnataka, 560064, India.
• Nature Portfolio, Heidelberger Platz 3, Berlin, 14197, Germany.