Optimization-driven machine learning intrusion detection systems for resource-constrained internet of things challenges: a systematic review and future directions
Key challenges in integrating advanced ML/DL into constrained IoT environments are thoroughly examined, and a forward-looking research framework is proposed to overcome current limitations and drive the development of the next generation of intelligent, adaptive, and resilient IoT-IDS solutions.