An Improved Explainable Hybrid CNN–LSTM Framework with Leakage-Aware Evaluation for Network Traffic Intrusion Detection
This paper proposes an explainable hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM) model for binary intrusion detection in network traffic using flow-based data. The research problem addressed in this study is the need for a reliable intrusion detection model that preserves temporal traffic behavi...