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

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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Bibliographic Details
Main Authors: Mejdl Safran, Abdulbaset Musleh
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Phishing emails
graph attention networks (GAT)
DistilBERT
graph neural network (GNN)
phishing detection
Online Access:https://ieeexplore.ieee.org/document/11091285/
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