Lightweight and secure IoMT edge device architecture through computing base minimisation and computing process optimisation

Abstract

Internet of medical things (IoMT) edge devices are resource limited medical devices in terms of battery, footprint and processing-power. Due to limited resources security and performance in presence of bulky hardware and software resources are challenging. Bulky resources are unsecure due to higher attack surface area. Performance optimisation of IoMT edge devices needs optimum resource surface area known as trusted computing base. Minimisation of trusted computing base in terms of number and size decreases visibility to the unauthorised world and increases lightweight and security of the architecture. This paper presents an Arduino IDE and ESP32 micro controller based IoMT edge device architecture to minimise computing base in terms of least number and size of resources for lightweight and secure architecture. Computing process optimisation has been proposed using light most secure IoT algorithm using minimum size key. Comprehensive and direct comparisons between existing and proposed architectures result into tightly secure and lightweight IoMT edge device architecture. Due to resource constrained nature of IoMT edge device the aim of this work is to propose a lightweight and secure IoMT edge device architecture using minimum computing base and computing process optimisation.