A Hybrid STL-Deep Learning Framework for Behavioral-Based Intrusion Detection in IoT Environments

The rapid proliferation of Internet of Things (IoT) devices presents significant security challenges due to inherent vulnerabilities and increasing cyberattacks. Effective intrusion detection systems (IDSs) are crucial for securing IoT environments, requiring high detection accuracy while efficientl...

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Bibliographic Details
Main Authors: Abdullah AlHayan, Jalal Al-Muhtadi
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/12/6421
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