Cyber-Risk Management within IoMT: a Context-aware Agent-based Framework for a Reliable e-Health System
Sondes Ksibi, Faouzi Jaïdi, Adel Bouhoula
Abstract
The Internet of Medical Things (IoMT) is creating all sorts of new applications and capabilities for healthcare services and transforming medical care in lasting and impactful ways. Jointly, new security and cyber-security risks are arisen. Nevertheless, traditional risk management frameworks cannot be directly applied to the IoMT context. In fact, IoMT devices naturally favor usability instead of security and are contained in a distributed and mistrustful environment. The main goal of this paper is to introduce and technically detail an adaptive risk management model for IoT-based medical systems. The proposal performs risk quantification in different layers. To do so, a deep analysis of IoMT security risks is conducted and an agent-based risk management model is then explained.