A deep Reinforcement learning-based robust Intrusion Detection System for securing IoMT Healthcare Networks

A deep Reinforcement learning-based robust Intrusion Detection System for securing IoMT Healthcare Networks

The Internet of Medical Things (IoMT) is transforming healthcare by enabling continuous remote patient monitoring, diagnostics, and personalized therapies. However, the widespread deployment of these devices introduces significant security vulnerabilities due to limited resources and inadequate netw...

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Bibliographic Details
Main Authors: Jamshed Ali Shaikh, Chengliang Wang, Muhammad Wajeeh Us Sima, Muhammad Arshad, Muhammad Owais, Dina S. M. Hassan, Reem Alkanhel, Mohammed Saleh Ali Muthanna
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Medicine
Subjects:
Internet of Medical Things
Intrusion Detection System
CNN
LSTM
reinforcement learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1524286/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1524286/full

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