Ivonne Kuma Nketia

Deep Learning Approaches for Phishing Detection: A Systematic Review with a Focus on Mobile Deployment, Explainability, and Temporal Modelling

Financial loss, data theft, and user harm can result from phishing attacks, which are increasing in frequency and variety beyond traditional email-based attacks to include mobile forms like smishing, quishing, malicious mobile applications, and mobile phishing websites. While a n...