Anomaly-based Intrusion Detection for IoMT Networks: Leveraging Blockchain Technology
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.
Authors
- Georgia Sakellari (ORCID: https://orcid.org/0000-0001-7238-8700)
- Joaquim Bastos (ORCID: https://orcid.org/0000-0001-8182-5087)
- Georgios Zachos (ORCID: https://orcid.org/0000-0001-9130-4605)
- Kyriakos Porfyrakis (ORCID: https://orcid.org/0000-0003-1364-0261)
- Γεώργιος Μαντάς (ORCID: https://orcid.org/0000-0002-8074-0417)
- Jonathan Rodrı́guez (ORCID: https://orcid.org/0000-0001-9829-0955)
- Filippos Pelekoudas‐Oikonomou (ORCID: https://orcid.org/0000-0003-4305-8387)
- Naveed Ahmad (ORCID: https://orcid.org/0000-0001-6920-8246)
Institutions
- University of South Wales (GB)
- Instituto de Telecomunicações (PT)
- University of Greenwich (GB)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.1109/iccworkshops67674.2025.11162309
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00