most citedExtensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification

71 citations · 71 across the 1 of their papers we have counts for

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cs.CR2022★ 71 cited

Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification

Steven Jorgensen, John Holodnak, Jensen Dempsey +6

With the increasing prevalence of encrypted network traffic, cyber security analysts have been turning to machine learning (ML) techniques to elucidate the traffic on their network…