Document Type
Conference Proceeding
Publication Title
Procedia Computer Science
Volume
225
First Page
3471
Last Page
3478
Publisher
Elsevier
School
School of Science
Abstract
Remote patient monitoring is a healthcare delivery model that uses technology to collect and transmit patient data from a remote location to healthcare providers for analysis and treatment. Remote patient monitoring systems rely on a network infrastructure to gather and transmit data from patients to healthcare providers through a network. While these systems become more prevalent, they may also become targets for cyberattacks. This paper deals with the development of a domain ontology to facilitate partial automation to improve the security posture of IoT networks used in remote patient monitoring. For this purpose, it captures the semantics of the concepts and properties of the main security aspects of IoT medical devices. This is complemented by a comprehensive ruleset, evaluated by using SPARQL queries, and automated reasoning over the aggregated knowledge.
DOI
10.1016/j.procs.2023.10.342
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Comments
Bughio, K. S. (2023). Knowledge organization system for partial automation to improve the security posture of IoMT networks. In Procedia Computer Science (pp. 3471-3478). Elsevier https://doi.org/10.1016/j.procs.2023.10.342