A Lightweight Hybrid CNN–Gradient Boosting Framework for Real-Time Network Intrusion Detection
Network intrusion detection systems must distinguish malicious from benign traffic under realistic conditions where attack types seen at deployment time may not have appeared during training. This paper presents a lightweight hybrid framework combining a compact one-dimensional convolutional neural network (CNN), used...