1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
When Simple Model Just Works: Is Network Traffic Classification in Crisis?
Kamil Jerabek, Jan Luxemburk, Richard Plny +3
Machine learning has been applied to network traffic classification (TC) for over two decades. While early efforts used shallow models, the latter 2010s saw a shift toward complex…
cs.NI2023
NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification
Josef Koumar, Karel Hynek, Jaroslav Pešek +1
Network traffic monitoring based on IP Flows is a standard monitoring approach that can be deployed to various network infrastructures, even the large IPS-based networks connecting…
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…