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Bandameedi Sai Charan

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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. · 0 citations