Enhancing IoMT Intrusion Detection Through Nature-Inspired Optimization-Based Gated Recurrent Unit Neural Network
Internet of Medical Things (IoMT) devices have grown rapidly in size across Industrial Control Systems (ICS) and IoT-enabled Cyber-Physical Systems (CPS), thereby increasing susceptibility to more advanced cyberattacks, and the need to use highly sensitive and timely intrusion detection mechanisms....
Tallennettuna:
| Päätekijät: | , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
IEEE
2026-01-01
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| Sarja: | IEEE Open Journal of the Communications Society |
| Aiheet: | |
| Linkit: | https://ieeexplore.ieee.org/document/11478429/ |
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