SupCL-GNN: Supervised contrastive learning with graph neural networks for enhanced encrypted traffic classification
Guo-Long Li, Yuan Gao, Jiong-Jiong Ren et al.
· Computer Networks · 0 citations
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This paper introduces a VAD method leveraging a multi-source pseudo-anomaly generator and a dual-decoder framework that integrates spatiotemporal perturbations and object-level local appearance perturbations to enhance anomaly coverage.
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