A Hybrid Deep Learning and Machine Learning Model for Intelligent Cyber Threat Detection in Smart Networks
A Hybrid Deep Learning and Machine Learning (DL-ML) framework for intelligent cyber threat detection that fuses a Convolutional Neural Network combined with a Bidirectional Long Short-Term Memory branch with a gradient-boosted ensemble branch that produces a unified threat classification and severity score is proposed.