An IoT/IoMT Security Testbed for Anomaly-based Intrusion Detection Systems
Georgios Zachos, Γεώργιος Μαντάς, Ismael Essop, Kyriakos Porfyrakis, Joaquim Bastos, Jonathan Rodrı́guez · 2023
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, I0MT 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 intrusion detection systems (IDSs), taking into consideration the inherent limitations of the I0MT networks, are required to be developed before I0MT networks reach their full potential in the market. In our previous works, we presented the system architecture of a novel hybrid anomaly-based IDS (AIDS) for I0MT networks and the implementation of its prototype. The next step is the testing and evaluation of the performance of the proposed AIDS under different types of attacks. However, there is a lack of existing IoT testbeds that can be used to test and evaluate the performance of an AIDS as a whole system running on different IoT devices, networks and platforms, and being under different types of IoT attacks. Therefore, in this paper, we present the development of a functional IoT/IoMT security testbed for testing and evaluating AIDSs. In addition, we intend this work to serve as a guidance for other researchers or engineers who aim to develop specific IoT/IoMT testbeds for evaluating their own AIDSs under different types of IoT attacks.