Design of a blockchain-based Anomaly-based Intrusion Detection System (AIDS) for IoMT networks
Zachos, Georgios, Pelekoudas-Oikonomou, Filippos, Mantas, Georgios ORCID: 0000-0002-8074-0417 , Porfyrakis, Kyriakos ORCID: 0000-0003-1364-0261 , Sakellari, Georgia ORCID: 0000-0001-7238-8700 and Rodriguez, Jonathan (2023) Design of a blockchain-based Anomaly-based Intrusion Detection System (AIDS) for IoMT networks. In: 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall) 10th - 13th Oct. 2023. Hong Kong. IEEE eXpress Conference Publishing . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New York, p. 34. ISBN 979-8350329285; 979-8350329278 ISSN 2577-2465 (doi:https://doi.org/10.1109/VTC2023-Fall60731.2023)
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Abstract
t—Over the past few years, the Internet of Things (IoT) has been growing significantly, particularly in the healthcare sector, leading to the introduction of the Internet of Medical Things (IoMT) technology, whose aim 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 protecting IoMT networks from adversaries are urgently needed. In this context, the industry and research community currently view Anomaly-based Intrusion Detection Systems (AIDSs) and blockchain technology as innovative solutions that could protect IoMT networks. However, so far, and to the best of our knowledge, there is a scarcity of research focusing on blockchain-based AIDSs, specifically designed for protecting IoMT networks. Our aim is to fill this significant research gap and thus, in this paper, we present the design of the system architecture of an energy-efficient Hyperledger Fabric-based AIDS (HF-AIDS) for IoMT networks.
Item Type: | Conference Proceedings |
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Title of Proceedings: | 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall) 10th - 13th Oct. 2023. Hong Kong |
Uncontrolled Keywords: | IoMT networks; anomaly-based intrusion detection; blockchain; hyperledger fabric |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG) |
Related URLs: | |
Last Modified: | 23 May 2024 12:51 |
URI: | http://gala.gre.ac.uk/id/eprint/44118 |
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