Recent Advances in the Internet of Medical Things (IoMT) Systems Security

Abstract

The rapid evolutions in micro-computing, mini-hardware manufacturing, and machine to machine (M2M) communications have enabled novel Internet of Things (IoT) solutions to reshape many networking applications. Healthcare systems are among these applications that have been revolutionized with IoT, introducing an IoT branch known as the Internet of Medical Things (IoMT) systems. IoMT systems allow remote monitoring of patients with chronic diseases. Thus, it can provide timely patients' diagnostic that can save their life in case of emergencies. However, security in these critical systems is a major challenge facing their wide utilization. In this paper, we present state-of-the-art techniques to secure IoMT systems' data during collection, transmission, and storage. We comprehensively overview IoMT systems' potential attacks, including physical and network attacks. Our findings reveal that most security techniques do not consider various types of attacks. Hence, we propose a security framework that combines several security techniques. The framework covers IoMT security requirements and can mitigate most of its known attacks.

References in corpus (2)

• Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey
• A Low-Power Dual-Factor Authentication Unit for Secure Implantable Devices

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• A Robust Cross-Domain IDS using BiGRU-LSTM-Attention for Medical and Industrial IoT Security
• Consumer, Commercial and Industrial IoT (In)Security: Attack Taxonomy and Case Studies
• Security Analysis and Threat Modeling of Research Management Applications [Extended Version]