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Jun-Li Zong

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#edge computing Open access Oct 2026

EW-GAT: An Edge-Weighted Graph Attention Network with Multi-Source Feature Fusion for Encrypted Malicious Traffic Classification

The current work introduces a model for edge weight calculation with multi-source feature fusion named EW-GAT, a semantic similarity graph constructed via cosine similarity and Top-K sparsification, with similarity values directly embedded as edge weights to quantitatively encode behavioral closeness between flows.

Jun-Li Zong · 0 citations

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