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Supragya Verma

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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 · 0 citations

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