Improved Phishing Email Detection through Hybrid Machine Learning and AI-Based Data Augmentation
An AI-driven hybrid ensemble model that integrates Support Vector Machine, Random Forest, and Bidirectional Long Short-Term Memory to improve phishing email detection accuracy and robustness is proposed to protect modern email systems against both conventional and AI-generated phishing attacks.