Implementing Anomaly-Based Intrusion Detection for Resource-Constrained Devices in IoMT Networks
Internet of Medical Things (IoMT) technology has emerged from the introduction of the Internet of Things in the healthcare sector. However, the resource-constrained characteristics and heterogeneity of IoMT networks make these networks susceptible to various types of threats. Thus, it is necessary t...
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| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/4/1216 |
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| author | Georgios Zachos Georgios Mantas Kyriakos Porfyrakis Jonathan Rodriguez |
| author_facet | Georgios Zachos Georgios Mantas Kyriakos Porfyrakis Jonathan Rodriguez |
| author_sort | Georgios Zachos |
| collection | DOAJ |
| description | Internet of Medical Things (IoMT) technology has emerged from the introduction of the Internet of Things in the healthcare sector. However, the resource-constrained characteristics and heterogeneity of IoMT networks make these networks susceptible to various types of threats. Thus, it is necessary to develop novel security solutions (e.g., efficient and accurate Anomaly-based Intrusion Detection Systems), considering the inherent limitations of IoMT networks, before these networks reach their full potential in the market. In this paper, we propose an AIDS specifically designed for resource-constrained devices within IoMT networks. The proposed lightweight AIDS leverages novelty detection and outlier detection algorithms instead of conventional classification algorithms to achieve (a) enhanced detection performance against both known and unknown attack patterns and (b) minimal computational costs. |
| format | Article |
| id | doaj-art-2f9847bd2d1b4694bdd6b5236d87f1c8 |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-2f9847bd2d1b4694bdd6b5236d87f1c82025-08-20T02:45:01ZengMDPI AGSensors1424-82202025-02-01254121610.3390/s25041216Implementing Anomaly-Based Intrusion Detection for Resource-Constrained Devices in IoMT NetworksGeorgios Zachos0Georgios Mantas1Kyriakos Porfyrakis2Jonathan Rodriguez3Instituto de Telecomunicações, 3810-193 Aveiro, PortugalInstituto de Telecomunicações, 3810-193 Aveiro, PortugalFaculty of Engineering and Science, University of Greenwich, Chatham Maritime ME4 4TB, UKInstituto de Telecomunicações, 3810-193 Aveiro, PortugalInternet of Medical Things (IoMT) technology has emerged from the introduction of the Internet of Things in the healthcare sector. However, the resource-constrained characteristics and heterogeneity of IoMT networks make these networks susceptible to various types of threats. Thus, it is necessary to develop novel security solutions (e.g., efficient and accurate Anomaly-based Intrusion Detection Systems), considering the inherent limitations of IoMT networks, before these networks reach their full potential in the market. In this paper, we propose an AIDS specifically designed for resource-constrained devices within IoMT networks. The proposed lightweight AIDS leverages novelty detection and outlier detection algorithms instead of conventional classification algorithms to achieve (a) enhanced detection performance against both known and unknown attack patterns and (b) minimal computational costs.https://www.mdpi.com/1424-8220/25/4/1216anomaly-based intrusion detectiondataset generationInternet of Medical Things (IoMT)intrusion detection system (IDS)machine learning algorithmsnovelty detection algorithms |
| spellingShingle | Georgios Zachos Georgios Mantas Kyriakos Porfyrakis Jonathan Rodriguez Implementing Anomaly-Based Intrusion Detection for Resource-Constrained Devices in IoMT Networks Sensors anomaly-based intrusion detection dataset generation Internet of Medical Things (IoMT) intrusion detection system (IDS) machine learning algorithms novelty detection algorithms |
| title | Implementing Anomaly-Based Intrusion Detection for Resource-Constrained Devices in IoMT Networks |
| title_full | Implementing Anomaly-Based Intrusion Detection for Resource-Constrained Devices in IoMT Networks |
| title_fullStr | Implementing Anomaly-Based Intrusion Detection for Resource-Constrained Devices in IoMT Networks |
| title_full_unstemmed | Implementing Anomaly-Based Intrusion Detection for Resource-Constrained Devices in IoMT Networks |
| title_short | Implementing Anomaly-Based Intrusion Detection for Resource-Constrained Devices in IoMT Networks |
| title_sort | implementing anomaly based intrusion detection for resource constrained devices in iomt networks |
| topic | anomaly-based intrusion detection dataset generation Internet of Medical Things (IoMT) intrusion detection system (IDS) machine learning algorithms novelty detection algorithms |
| url | https://www.mdpi.com/1424-8220/25/4/1216 |
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