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Dual-Layered IoT Intrusion Detection System by Ahmed Hat is a document available to read on EtoBox.
This research article proposes a dual-layered intrusion detection system for IoT security, utilizing extreme gradient boosting to detect reconnaissance attacks and an artificial neural network for classifying various IoT-specific attacks. The model demonstrates high accuracy rates across three benchmark datasets, significantly improving detection accuracy while reducing resource consumption. The findings emphasize the importance of a staged defense mechanism in IoT networks to effectively manage cyber threa
- Author
- Ahmed Hat
- Language
- EN