Mapping Cyber Attacks on the Internet of Medical Things: A Taxonomic Review

Abstract

The Internet of Medical Things (IoMT) constitutes the core technology of various contemporary healthcare applications, such as remote patient monitoring, telemedicine, and surgical robotics. Due to their complex system-of-system nature, IoMT systems are prone to numerous cyber attacks with implications ranging from physical harm to data theft. This study surveys the literature to identify the cyber attack categories and their taxonomy to induce a knowledge base for systematic threat modelling methods. Contrary to similar studies, we paid attention to review papers demonstrating solid attack techniques and tactics in healthcare systems. The knowledge base consisting of attacks, their categories, and taxonomy can be utilized by system developers to identify security requirements at the early stage of development.