Anomaly-based Intrusion Detection for IoMT Networks: Leveraging Blockchain Technology
Abstract
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.
Fields of Study & Subjects
Network Security and Intrusion Detection
Blockchain Technology Applications and Security
Internet of Things and AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026