Computers· 2026Q1· Review
Deep Learning Approaches for Phishing Detection: A Systematic Review with a Focus on Mobile Deployment, Explainability, and Temporal Modelling
- 0citations
- Q1SCImago
- 2026year
Short summary
Deep learning models, particularly transformer-based, hybrid, and attention-enhanced architectures, achieve over 97% accuracy in phishing detection, with lightweight designs enabling mobile deployment.
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Information SystemsComputer Science