A Hybrid Machine Learning-Based Smart Home IoT Security System for Threat Detection, Classification, and Alert Mechanisms
A machine learning-driven intrusion detection system that aims to detect attacks on IoT devices and suggests that machine learning methods can be successfully used to differentiate between legitimate and malicious network behavior, which can be used as a viable solution to enhance the security and surveillance of IoT-based systems.