A survey of cyber threat intelligence in embedded system driven security for mobile health systems

Abstract

Healthcare delivery has been transformed speedily due to the development of mobile health (mHealth) applications, which have in turn improved its efficiency and accessibility. Nevertheless, there is a high risk of the patient’s information privacy and integrity of the system being sabotaged by cybersecurity threats, because of high dependency of technological advancement. This survey paper investigated how cyber threat intelligence (CTI) and embedded system technologies enhance security in mHealth. A systematic survey was carried out between 2016 and 2025 including 31 primary study papers were synthesized out of 17,972 search articles. The paper further discusses mHealth data and cyber security threats, the methodology, and embedded system technologies in mHealth. It further, presented CTI and its role in mHealth security, the integration of CTI with embedded system technologies, and highlights the emerging trends in CTI for mHealth embedded systems. In addition, future research and challenges are discussed. The findings show that integrating CTI with embedded system technologies improves security and threat detection in mHealth. In addition, the finding further reveals that the future of CTI for mHealth security depends not only in advanced AI-driven analytics but much in governance frameworks that balance data privacy, ethical compliance, and collaborative threat intelligence sharing across healthcare system IoT networks. The primary audience of this survey is the convergence of CTI with embedded mHealth systems transforms cybersecurity from a reactive defense strategy into a predictive and proactive model, intelligence-driven ecosystem, which is capable of detecting, mitigating, and learning from threats autonomously while preserving clinical functionality and patient trust. The study contributes significantly in presenting a comprehensive approach, analyzing the convergence between embedded system technologies and CTI-driven security solutions, and their combined influence on mHealth data protection

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