Internet of Thing Environment

The Internet of Things (IoT) environment encompasses the interconnected network of physical devices, generating vast amounts of data requiring efficient processing and robust security. Current research focuses on enhancing IoT security through advanced machine learning models like ensemble methods (e.g., combining Kolmogorov-Arnold Networks and XGBoost), deep learning architectures (e.g., transformers and deep reinforcement learning), and federated learning techniques to address privacy concerns. These advancements aim to improve anomaly detection, intrusion prevention, and resource management in diverse IoT applications, ranging from industrial control systems to healthcare monitoring, ultimately impacting the reliability and security of increasingly interconnected systems.