most citedOne Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning

6 citations · 6 across the 1 of their papers we have counts for

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cs.LG2024★ 6 cited

One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning

Haozhen Zhang, Xi Xiao, Le Yu +3

As network security receives widespread attention, encrypted traffic classification has become the current research focus. However, existing methods conduct traffic classification…