A Survey Paper on Device Type Identification and Intrusion Detection using Deep Learning Techniques in Securing IoT Environments

Green Internet of Things (IoT) encompasses various sectors like farming, home automation, smart transport, and wellness, aiming to simplify people's lives. However, cyberattacks pose a significant threat to IoT devices. Deep learning techniques have emerged as effective solutions for IoT security, particularly in intrusion detection. Anomaly-based Intrusion Detection Systems (IDS) are favored over signature-based detection to combat zeroday threats. This study provides a comprehensive literature review on deep learning-based anomaly detection and device classification for safeguarding IoT systems.