Privacy Preservation, Trust, and Security in Intelligent Embedded Systems

Abstract

An embedded system is a software and hardware system that is based on a microcontroller or microprocessor designed to accomplish the dedicated functions within a massive electrical or mechanical system. An intelligent embedded system (IES) is a generation or promising evolution of an embedded system (ES). IES has the ability of reasoning about their external atmosphere and acclimates their nature accordingly. The capacity of IES is characterized by the ability of process, service, or product to expose the performance of the environment to enrich the lifetime, quality, and satisfaction of the individual. IES facilitates the processing of information gathered from the embedded sensors. IES rely on numerous multidisciplinary methods for the successive operation.IES is widely employed in consumer electronics, industrial machines, agriculture, medical equipment, and other automated applications. It is programmable and necessary functionalities can be achieved effectively. In this article diversified utilities of embedded intelligence, challenges, issues, privacy, and security metrics of IES are discussed.

Reviewing the Impact of Embedded Systems in Medical Devices in the Usa

“…Moreover, the use of non-medical devices for chronic breathlessness, integrated into complex social systems, has highlighted the interactions of patient-carer-clinician triads and their impact on implementation and integration (Prihartadi et al, 2021). Notable lessons learned from embedded systems in medical devices include the importance of trust and security in intelligent embedded systems, particularly in ensuring privacy preservation and user trust (Yadav & Alharbi, 2021;Ezeigweneme et al, 2024). Additionally, the integration of e-health data transmission to medical experts for real-time treatments, supported by a digital mobile network, has demonstrated the significance of optimized embedded healthcare industry models with lightweight computing (Saba et al, 2022;Ogundairo et al, 2023).…”