A Smart Cybersecurity Scheme for MIoT Systems: Simulation and Evaluation

Abstract

Cybersecurity is essential to safeguarding intellectual property, patient information, and other sensitive data from unauthorised access by cybercriminals. As healthcare technology advances, integrating the Medical Internet of Things (MIoT) into smart diagnostic laboratories has become instrumental in enhancing diagnostic accuracy and efficiency in patient care. However, this integration also introduces significant cybersecurity and privacy risks, given the high confidentiality of patient information stored and processed by MIoT systems. Ensuring the security of these systems is critical to maintaining trust and safety in digital health platforms. To address these cybersecurity challenges, this study proposes a smart cybersecurity scheme for MIoT systems. Using the Emulated Virtual Environment for Network Graphing (EVE-NG), we simulate potential cyberattacks targeting diagnostic laboratory software to evaluate the system’s resilience and identify risk levels. This simulation-based approach enables cybersecurity professionals to develop, test, and improve defensive mechanisms in a controlled virtual environment. The proposed cybersecurity scheme is assessed for its effectiveness in mitigating cyber threats within MIoT systems, providing insights into safeguarding sensitive health data, and ensuring reliable diagnostic processes.