Challenges and Opportunities for Conducting Dynamic Risk Assessments in Medical IoT

Modern medical devices connected to public and private networks require additional layers of communication management effectively securely treat remote patients. Wearable devices, for example, can detect position, movement, vital signs; such data help improve the quality care patients, even when they are not close a doctor or caregiver. In healthcare environments, these called Medical Internet-of-Things (MIoT), which have security as critical requirement. To protect users, traditional risk assessment (RA) methods be periodically carried out identify potential risks. However, suitable manage sophisticated cyber-attacks happening in near real-time. That is reason why dynamic RA (DRA) approaches emerging tackle inherent risks patients employing MIoT wearable devices. This paper presents systematic literature review that analyses current trends existing this field. From our review, we first observe significant ways mitigate impact unauthorised intrusions end-users from leakage personal ensure uninterrupted device usage. Second, important research directions DRA must address challenges posed by infrastructures uncertain attack surfaces order better users thwart before harm (e.g., patients’ home) institutional hospital health clinic) networks.