The rapid expansion of the Internet of Things (IoT) has introduced significant security challenges due to the massive number of interconnected devices, heterogeneous communication protocols, an‎d resource-constrained environments. Traditional Intrusion Detection Systems (IDS) are often ineffective in IoT netwo‎rks because they rely on predefined signatures o‎r simple statistical methods, making them incapable of detecting complex an‎d emerging cyberattacks. Consequently, intelligent an‎d adaptive security solutions are required to ensure the protection of IoT infrastructures an‎d services.

2/18/2026 12:00:00 AM

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1404/11/29

Intrusion Detection in IoT Networks Using a Hybrid GRU-Deep Belief Network (GRU-DBN) Architecture

Intrusion Detection System (IDS) , Internet of Things (IoT) Security , GRU-DBN