AI-Driven Network Intrusion Detection and Traffic Optimization in IoT Networks

Author(s)	Othman Melad Salim Abdulkarim, Musbah Belaid Musbah Haduad
Country	India
Abstract	The rapid expansion of the Internet of Things (IoT) has resulted in highly interconnected networks containing large numbers of heterogeneous and resource-constrained devices. Although IoT networks provide significant benefits in smart homes, healthcare, transportation, industrial automation, and smart cities, their large attack surface makes them vulnerable to Distributed Denial-of-Service (DDoS), Denial-of-Service (DoS), reconnaissance, spoofing, brute-force, web-based, and botnet attacks. Conventional security mechanisms may be insufficient for detecting complex and evolving network threats while maintaining efficient network performance.
Field	Engineering
Published In	Volume 8, Issue 5, September-October 2026
Published On	2026-09-05

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International Journal For Multidisciplinary Research