54 citations · 88 across the 5 of their papers we have counts for
5 papers
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…
Network Traffic Classification based on Single Flow Time Series Analysis
Josef Koumar, Karel Hynek, Tomáš Čejka
Network traffic monitoring using IP flows is used to handle the current challenge of analyzing encrypted network communication. Nevertheless, the packet aggregation into flow recor…
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…
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…
Large Scale Measurement on the Adoption of Encrypted DNS
Sebastián García, Karel Hynek, Dmtrii Vekshin +2
Several encryption proposals for DNS have been presented since 2016, but their adoption was not comprehensively studied yet. This research measured the current adoption of DoH (DNS…