Due to advancements in communication networks, the Internet of Things (IoT) has brought new directions in which a person can connect with any device from any location. The healthcare system is one of the examples in terms of monitoring, assisting, and diagnosing patients locally and remotely. In these systems, IoT devices can detect the patient condition whether he/she behaves normally or not by checking his/her blood pressure, heart rate etc. In case of any abnormal reading, it will alert the doctor or caregiver for assessment. While they provide benefits to medical staff and patients, many security risks occur and reoccur (e.g., sensitive medical and financial data is stolen/replaced by attackers).
The purpose of this research is to create a semantic framework to facilitate partial automation in improving the security posture of IoT networks used in remote patient monitoring. At the heart of this framework will be a domain ontology, which captures the semantics of the concepts and properties of the main security aspects of IoT devices used in such systems. This will be complemented by a comprehensive ruleset, complex queries, and a mechanism to enable automated reasoning over the aggregated knowledge.
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