An Approach Based on Machine Learning for the Cybersecurity of Blockchain-Based Smart Internet of Medical Things (IoMT) Networks

Abstract

This paper presents a hybrid blockchain architecture for Internet of Medical Things (IoMT) systems, aiming to enhance their security and performance. The proposed approach combines artificial intelligence (AI) models with blockchain technology to create a safe and efficient healthcare system. The study focuses on addressing the challenges related to data storage, data management, real-time medical applications, and system precision in IoMT. Through experimental evaluations, the effectiveness of the proposed techniques in terms of communication overhead, transaction performance, and privacy preservation is demonstrated. The results highlight the potential of leveraging AI and blockchain to improve the overall functionality of IoMT systems.