Open access
Sep 2026
A Hybrid Stacking-Based Ensemble Learning Framework with Temporal Feature Modelling for Zero-Day Attack Prediction in Enterprise Environments
A Hybrid Stacking-Based Ensemble Learning Framework that integrates Random Forest, Support Vector Machine, Extreme Gradient Boosting, and Long Short-Term Memory models through a Logistic Regression meta-classifier to enhance zero-day attack prediction is proposed.
Hrishikesh Parabhat Mishra, Supragya Verma
· International Journal of Cre... · 0 citations