Cyber Threat Intelligence for Lightweight Trust Architectures in Medical IoT Environments

Abstract

We explore the integration of cyber threat intelligence (CTI) in the internet of medical things (IoMT) with lightweight trust architectures. Addressing the unique vulnerabilities of IoMT devices, the authors survey for resource-efficient CTI architectures suitable for the constrained nature of medical IoT devices. The framework's core is the discussion of adaptive algorithms and models designed for real-time threat detection and response, essential in a landscape where cyber threats are increasingly sophisticated. The authors emphasize the synergy between CTI and lightweight cryptographic solutions, demonstrating their combined effectiveness in reinforcing IoMT security. The novelty aspect of the survey lies in the discussion of lightweight models in practical use-cases. The chapter outlines development roadmap for robust and trustworthy medical IoT ecosystems, highlighting the need for ongoing innovation in this critical area. This contribution aims to guide future efforts in securing IoMT environments, ensuring patient safety and data integrity in an increasingly digital healthcare landscape.