Prototyping an Anomaly-Based Intrusion Detection System for Internet of Medical Things Networks
Georgios Zachos, Γεώργιος Μαντάς, Ismael Essop, Kyriakos Porfyrakis, José Ribeiro, Jonathan Rodrı́guez
Abstract
Over the past few years, the Internet of Things (IoT) is transforming the healthcare sector through the introduction of the Internet of Medical Things (IoMT) technology, whose purpose is the improvement of the patient's quality of life. Nevertheless, IoMT networks are still vulnerable to a wide range of threats because of their heterogeneity and resource-constrained characteristics. Thus, novel security mechanisms, such as accurate and efficient anomaly-based intrusion detection systems (AIDSs), taking into consideration the inherent limitations of the IoMT networks, are required to be developed before IoMT networks reach their full potential in the market. In our previous work, we presented the system architecture for a novel hybrid AIDS for IoMT networks. In this paper, we expand it by presenting details of the implementation process that led to a prototype of the proposed AIDS. Our target is this work to serve as a guidance for other researchers or engineers to develop their own specific implementations of AIDSs for IoMT networks.