54 citations · 88 across the 5 of their papers we have counts for
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cs.NI2022★ 1 cited
Active Learning Framework to Automate NetworkTraffic Classification
Jaroslav Pešek, Dominik Soukup, Tomáš Čejka
Recent network traffic classification methods benefitfrom machine learning (ML) technology. However, there aremany challenges due to use of ML, such as: lack of high-qualityannotat…
cs.LG2022★ 54 cited
Fine-grained TLS services classification with reject option
Jan Luxemburk, Tomáš Čejka
The recent success and proliferation of machine learning and deep learning have provided powerful tools, which are also utilized for encrypted traffic analysis, classification, and…