Josef Koumar

18 papers B 10Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting.
IEEE Trans. Netw. Serv. Manag.
Josef Koumar, Timotej Smolen, Kamil Jerábek, Tomás Cejka
2025 B conf
Botnet Detection Through Periodic Patterns in Command-and-Control Network Traffic.
CNSM
Dominik Oskera, Josef Koumar, Alzbeta Pokorná, Kamil Jerábek, Tomás Cejka
2025 B conf
CESNET TS-Zoo: A Library for Reproducible Analysis of Network Traffic Time Series.
CNSM
Milan Kures, Josef Koumar, Karel Hynek
2025 J jnl
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting.
CoRR
Josef Koumar, Timotej Smolen, Kamil Jerábek, Tomás Cejka
2025 B conf
DAF: Device Annotation Framework.
CNSM
Matej Hulák, Václav Bartos, Josef Koumar, Tomás Cejka
2025 B conf
Explainable Anomaly Detection in Network Traffic Using LLM.
NOMS
Kamil Jerábek, Josef Koumar, Jirí Setinský, Jaroslav Pesek
2025 B conf
Towards Building Network Outlier Detection System for Network Traffic Monitoring.
NOMS
Josef Koumar, Jaroslav Pesek, Kamil Jerábek, Tomás Cejka
2025 J jnl
When Simple Model Just Works: Is Network Traffic Classification in Crisis?
CoRR
Kamil Jerábek, Jan Luxemburk, Richard Plný, Josef Koumar, Jaroslav Pesek, Karel Hynek
2024 B conf
Analysis of Statistical Distribution Changes of Input Features in Network Traffic Classification Domain.
NOMS
Lukás Jancicka, Josef Koumar, Dominik Soukup, Tomás Cejka
2024 J jnl
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting.
CoRR
Josef Koumar, Karel Hynek, Tomás Cejka, Pavel Siska
2024 B conf
MFWDD: Model-based Feature Weight Drift Detection Showcased on TLS and QUIC Traffic.
CNSM
Lukás Jancicka, Dominik Soukup, Josef Koumar, Filip Nemec, Tomás Cejka
2024 J jnl
NetTiSA: Extended IP flow with time-series features for universal bandwidth-constrained high-speed network traffic classification.
Comput. Networks
Josef Koumar, Karel Hynek, Jaroslav Pesek, Tomás Cejka
2023 B conf
Enhancing DeCrypto: Finding Cryptocurrency Miners Based on Periodic Behavior.
CNSM
Josef Koumar, Richard Plný, Tomás Cejka
2023 J jnl
NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification.
CoRR
Josef Koumar, Karel Hynek, Jaroslav Pesek, Tomás Cejka
2023 B conf
Network Traffic Classification Based on Single Flow Time Series Analysis.
CNSM
Josef Koumar, Karel Hynek, Tomás Cejka
2023 J jnl
Network Traffic Classification based on Single Flow Time Series Analysis.
CoRR
Josef Koumar, Karel Hynek, Tomás Cejka
2023 — conf
Unevenly Spaced Time Series from Network Traffic.
TMA
Josef Koumar, Tomás Cejka
2022 B conf
Network traffic classification based on periodic behavior detection.
CNSM
Josef Koumar, Tomás Cejka