A secure and explainable phishing detection framework using deep learning and LLM-based reasoning
Existing phishing detection systems face a persistent trade-off: feature-based classical models offer interpretability but sacrifice accuracy on evolving attack patterns, while deep learning models achieve strong accuracy but function as opaque black boxes that provide security analysts with only a label and a confiden...