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Optimizing IoMT Security: Performance Trade-Offs Between Neural Network Architectural Design, Dimensionality Reduction, and Class Imbalance Handling

2025-10-22

Abstract excerpt

The proliferation of Internet of Medical Things (IoMT) devices in healthcare requires robust intrusion detection systems to safeguard sensitive data and ensure patient safety. This study presents a comprehensive evaluation of advanced Artificial Neural Network (ANN) architectures and autoencoder (AE) preprocessing for intrusion detection in IoMT environments. Using the WUSTL-EHMS-2020 dataset, we investigate wheth...

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Literature Corpus work: d955436c-dfb3-57c5-ba4e-6b28d188516f
DOI: 10.20944/preprints202510.1779.v1

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