Blockchain-Enabled Secure Data Transmission Framework for Internet of Medical Things (IoMT) Communication Networks

Abstract

The rapid adoption of the Internet of Medical Things (IoMT) has revolutionized modern healthcare by enabling continuous patient monitoring, remote diagnosis, intelligent disease prediction, and real-time medical data exchange through interconnected wearable sensors, implantable devices, smart medical equipment, and cloud-based healthcare infrastructures. Despite these advancements, IoMT communication networks face significant security challenges including unauthorized access, data tampering, identity spoofing, distributed denial-of-service attacks, privacy leakage, and insecure medical data transmission. Conventional centralized security mechanisms often suffer from single points of failure, limited scalability, and inadequate trust management in heterogeneous healthcare environments. Blockchain technology offers a decentralized, immutable, and transparent platform capable of ensuring secure and trustworthy medical data sharing among healthcare stakeholders. This research proposes a BlockchainEnabled Secure Data Transmission Framework that integrates blockchain, lightweight cryptographic techniques, smart contracts, decentralized authentication, and secure communication protocols to protect sensitive medical information transmitted across IoMT communication networks. The proposed framework ensures confidentiality, integrity, authentication, non-repudiation, and traceability while maintaining low communication latency and high network efficiency. Experimental evaluation demonstrates improvements in transmission security, authentication accuracy, throughput, energy efficiency, and resistance against cyberattacks compared with conventional IoMT security architectures. The proposed framework provides a reliable foundation for intelligent, secure, and privacy-preserving healthcare communication systems supporting next-generation digital hospitals, telemedicine platforms, emergency healthcare services, and smart medical ecosystems.