Open access
Jul 2026
ELEVATING PHISHING DETECTION PERFORMANCE WITH MACHINE LEARNING AND DEEP LEARNING-ENABLED FEATURE SELECTION
An intelligent phishing detection framework that integrates machine learning, deep learning-enabled feature selection, multi-source phishing feature extraction, hybrid classification, and real-time risk assessment is proposed that can achieve higher detection accuracy, precision, recall, F1-score, and lower response latency than blacklist-based, conventional machine learning, and standalone deep learning approaches.
P. Paul, Bharath Bhushan, Bandameedi Sai Charan et al.
· American Journal of AI Cyber... · 0 citations