Anomaly-Based Intrusion Detection for IoMT Networks: Design, Implementation, Dataset Generation, and ML Algorithms Evaluation

Anomaly-Based Intrusion Detection for IoMT Networks: Design, Implementation, Dataset Generation, and ML Algorithms Evaluation

The Internet of Things has transformed the healthcare sector through the introduction of the Internet of Medical Things (IoMT) technology. However, IoMT networks remain vulnerable to a wide range of threats due to their resource-constrained characteristics and heterogeneity. Therefore, novel securit...

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Bibliographic Details
Main Authors: Georgios Zachos, Georgios Mantas, Kyriakos Porfyrakis, Joaquim Manuel Camoes Sobral de Bastos, Jonathan Rodriguez
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Anomaly-based intrusion detection
dataset generation
Internet of Medical Things (IoMT)
intrusion detection system (IDS)
machine learning algorithms
novelty detection algorithms
Online Access:https://ieeexplore.ieee.org/document/10909110/
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