A Hybrid Deep Learning Framework for Real-Time Network Intrusion Detection in IoT Environments
In this study, a hybrid deep learning technique is proposed as the foundation for a real-time network intrusion detection system (i.e., NIDS) for Internet of Things (i.e., IoT) networks. (i.e., NIDS) stands for network intrusion detection system. Learning spatial information is accomplished using convolutional neural n...