PhishingGNN: Phishing Email Detection Using Graph Attention Networks and Transformer-Based Feature Extraction

Phishing emails remain a critical cybersecurity challenge, demanding detection frameworks that capture both textual semantics and structural relationships in email data. This study introduces PhishingGNN, a hybrid model that integrates DistilBERT for context-aware text analysis with Graph Attention...

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Auteurs principaux:	Mejdl Safran, Abdulbaset Musleh
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2025-01-01
Collection:	IEEE Access
Sujets:	Phishing emails graph attention networks (GAT) DistilBERT graph neural network (GNN) phishing detection
Accès en ligne:	https://ieeexplore.ieee.org/document/11091285/
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