Securing the Internet of Medical Things (IoMT): Real-World Attack Taxonomy and Practical Security Measures
Suman Deb, Emil Lupu, Emm Mic Drakakis, Anil Anthony Bharath, Zhen Kit Leung, Guang Rui Ma, and Anupam Chattopadhyay

TL;DR
This paper provides a comprehensive taxonomy of cyber threats to IoMT, analyzes real-world incidents, and offers practical security strategies and standards to enhance the safety and privacy of medical devices and networks.
Contribution
It introduces a detailed attack taxonomy for IoMT, analyzes historical cyber incidents, and proposes actionable security guidelines and compliance frameworks for practitioners.
Findings
Identified key attack surfaces and vulnerabilities in IoMT systems.
Highlighted critical security gaps from real-world cyber incidents.
Provided practical security measures and standardization guidance.
Abstract
The Internet of Medical Things (IoMT) has the potential to radically improve healthcare by enabling real-time monitoring, remote diagnostics, and AI-driven decision making. However, the connectivity, embedded intelligence, and inclusion of a wide variety of novel sensors expose medical devices to severe cybersecurity threats, compromising patient safety and data privacy. In addition, many devices also have direct capacity - individually or in conjunction with other IoMT devices - to perform actions on the patient, such as delivering an electrical stimulus, administering a drug, or activating a motor, which can potentially be life-threatening. We provide a taxonomy of potential attacks targeting IoMT, presenting attack surfaces, vulnerabilities, and mitigation strategies across all layers of the IoMT architecture. It answers key questions such as: What makes IoMT security different from…
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