DistilBERT reaches 99.78% accuracy on heterogeneous phishing datasets while CatBoost, CNN, and logistic regression also perform well; XAI methods identify key features and an MCP system enables real-time detection.
Detection of phishing websites using an efficient feature-based machine learning framework.Neural Computing and Applications, 31:3851 – 3873, 2018
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Explainable Machine Learning for Phishing Detection on Heterogeneous Datasets with MCP-Enabled Deployment
DistilBERT reaches 99.78% accuracy on heterogeneous phishing datasets while CatBoost, CNN, and logistic regression also perform well; XAI methods identify key features and an MCP system enables real-time detection.