Internet of Medical Things with Considering of Artificial Intelligence

Abstract

The growth of Internet of Things (IoT) devices in the healthcare sector has enabled the new era of the Internet of Medical Things (IoMT). However, IoT devices are vulnerable to various cybersecurity attacks and threats, leading to negative consequences. Cyberattacks can harm IoMT devices in use and risk human lives. Given the promising potential of Artificial Intelligence (AI)-related technologies to enhance specific cybersecurity measures, this article provides a comprehensive review of this emerging field to introduce modern cybersecurity technologies that leverage AI techniques to improve performance and address security and privacy vulnerabilities. Our findings indicate that integrating Machine Learning (ML) and Deep Learning (DL) techniques enhances cybersecurity measures' performance, speed, reliability, and efficiency. This issue could be useful in improving the security and privacy of IoMT devices. This article outlines the numerous advantages of AI technologies compared to traditional cybersecurity technologies, such as blockchain, anomaly detection, homomorphic encryption, differential privacy, and federated learning. We conclude with considerations for future research, emphasizing the promising Potential of AI-based cybersecurity in the IoMT landscape, particularly in protecting patient data and data-driven healthcare.