Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks

Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks

Intrusion detection in Internet of Things (IoT) networks is essential to identify and mitigate security breaches and unauthorized access to connected devices. As IoT devices continue to advance, securing interconnected systems against malicious attacks is essential to ensure data privacy, system int...

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Bibliographic Details
Main Authors: Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
feature selection
intrusion detection
IoT
optimization
Online Access:https://ieeexplore.ieee.org/document/11002467/
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