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Deep Learning for Phishing Detection by remzi.ozturk0 is a document available to read on EtoBox.

What is Deep Learning for Phishing Detection about?

This paper presents a novel deep learning framework for detecting phishing emails, utilizing a hybrid architecture that combines BERT embeddings, CNN, GRU, and multi-head attention, optimized through the Mountain Gazelle Optimizer (MGO). The proposed model achieves impressive performance metrics, including 96.8% accuracy and a 2.5% reduction in false positives compared to traditional methods. The study emphasizes the importance of advanced machine learning techniques in enhancing email security against incr

Author

remzi.ozturk0

Language

EN