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Cyber attacks mitigation strategies for healthcare 4.0 using blockchain

delete2026-06-23
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Ashish Kumar *
K
Kakali Chatterjee
DOI:10.1007/s12083-026-02260-4delete
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Abstract

Abstract

En 中文
The integration of Internet of Medical Devices (IoMD) in healthcare 4.0 enables real-time patient monitoring but introduces severe cybersecurity risks across sensor, network, and application layers. Traditional security models fail to address multi-layer threats such as device tampering, Man-in-the-Middle (MITM), Denial-of-Service (DoS), Eavesdropping, and insider attacks in a unified manner. This work proposes a blockchain (BC)-based IoMD security framework leveraging AES-256 encryption for confidentiality, SHA-256 hashing for integrity, and Practical Byzantine Fault Tolerance (PBFT) consensus for decentralized trust. The framework incorporates cryptographic firmware verification, BC-based device fingerprinting, payload hashing, and smart contract-based access control. The experiments demonstrate that the proposed system improves security effectiveness by up to 96% at the sensor layer, reduces unauthorized access by 93%, and mitigates MITM, DoS, and Eavesdropping attacks by 88-94%. Latency remains within real-time bounds (115-190 ms), while throughput scales up to 155 TPS. Encryption performance analysis confirms AES-256 as the most reliable option with a 99% success rate, despite moderate latency overhead. Comparative benchmarking reveals that the proposed system outperforms PoW and PoS-based models by achieving 60.3% lower gas costs, 35-42% lower latency, and broader attack coverage (covering five threat categories). These results validate the proposed framework’s effectiveness, scalability, and resilience for secure, decentralized, and performance-efficient IoMD deployments.
Keywords:
Internet of Medical Devices (IoMD)
Blockchain
Man-in-the-Middle (MITM)
Denial-of-Service (DoS)
Eavesdropping
Insider threats
PBFT consensus
Access control
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Journal

Peer-to-Peer Networking and Applications cover
Peer-to-Peer Networking and Applications
IF:
2.6
Papers:
2.2K
Citations:
2.9K

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D
department of computer science and engineering
Scholars:
1.7K
Papers: 961
Citations: 0
S
school of computer science & engineering
Scholars:
6
Papers: 4
Citations: 0
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