TY - GEN
T1 - Prototyping an Anomaly-Based Intrusion Detection System for Internet of Medical Things Networks
AU - Zachos, Georgios
AU - Mantas, Georgios
AU - Essop, Ismael
AU - Porfyrakis, Kyriakos
AU - Ribeiro, Jose C.
AU - Rodriguez, Jonathan
N1 - Possible OA Compliant version at Greenwich - https://gala.gre.ac.uk/id/eprint/38260/
PY - 2022/12/8
Y1 - 2022/12/8
N2 - 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.
AB - 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.
KW - anomaly-based intrusion detection
KW - Internet of Medical Things (IoMT)
KW - intrusion detection system (IDS)
KW - IoMT AIDS implementation
KW - machine learning algorithms
U2 - 10.1109/CAMAD55695.2022.9966912
DO - 10.1109/CAMAD55695.2022.9966912
M3 - Conference contribution
AN - SCOPUS:85144053575
T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
SP - 179
EP - 183
BT - 2022 IEEE 27th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2022
Y2 - 2 November 2022 through 3 November 2022
ER -
