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June 30, 2025Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications

Advancing IoMT Security: Machine Learning-Based Detection and Classification of Multi-Protocol Cyberattacks

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Authors

LALoiy AlsbatinBABasem AlrifaiFZFiras Zawaideh

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Overview

Machine learning detects multi-protocol cyberattacks in IoMT networks, highlighting the importance of proactive measures.

Key Points

  • The random forests model achieves 74% accuracy in detecting complex multi-protocol cyberattacks.
  • Precision, recall, and F1 scores were extensively measured across a new dataset of diverse attack scenarios.
  • Research applied machine learning techniques using simulated network traffic to train various models like SVM and ANN.
  • Interdisciplinary collaboration is essential for scalable solutions, while reliance on synthetic data limits dataset diversity.

Cite This Study

Alsbatin et al. (2025) studied this question.

synapsesocial.com/papers/68af2d76cf1dd9ea359e5573https://doi.org/10.58346/jowua.2025.i2.015
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