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Design of a blockchain-based Anomaly-based Intrusion Detection System (AIDS) for IoMT networks

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 October 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 (In Press)

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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
Title of Proceedings: 2023 IEEE 98th Vehicular Technology Conference. VTC2023-Fall: 10th - 13th October 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: 14 Mar 2024 12:34
URI: http://gala.gre.ac.uk/id/eprint/44118

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