Karel Hynek - RankMe

38 papers B 9C 1Misc 1Journal 17Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advanced similarity metrics for IP flow data analytics. Comput. Networks Ivo Petr, Jitka Hrabáková, Magda Friedjungová, Daniel Vasata, Karel Hynek
2026	J	`jnl`	Tutorial on Flow-Based Network Traffic Classification Using Machine Learning. CoRR Adrián Pekár, Richard Plný, Karel Hynek
2026	J	`jnl`	Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success. IEEE Trans. Netw. Serv. Manag. Jan Luxemburk, Karel Hynek, Richard Plný, 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	—	`conf`	Lightweight Traffic Classification: A Simple Baseline Matching Deep Learning Performance. TMA Jaroslav Pesek, Jan Luxemburk, Karel Hynek
2025	B	`conf`	On Evaluation of Data Fusion Methods for Network Traffic Classification. CNSM Richard Plný, Karel Hynek
2025	B	`conf`	Taming Volatility: Stable and Private QUIC Classification with Federated Learning. CNSM Richard Jozsa, Karel Hynek, Adrián Pekár
2025	J	`jnl`	Taming Volatility: Stable and Private QUIC Classification with Federated Learning. CoRR Richard Jozsa, Karel Hynek, Adrián Pekár
2025	J	`jnl`	Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success. CoRR Jan Luxemburk, Karel Hynek, Richard Plný, 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	J	`jnl`	CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting. CoRR Josef Koumar, Karel Hynek, Tomás Cejka, Pavel Siska
2024	J	`jnl`	Comparative analysis of DNS over HTTPS detectors. Comput. Networks Kamil Jerábek, Karel Hynek, Ondrej Rysavý
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
2024	—	`conf`	Towards Reusable Models in Traffic Classification. TMA Jan Luxemburk, Karel Hynek
2024	B	`conf`	WIF: Efficient Library for Network Traffic Analysis. CNSM Richard Plný, Karel Hynek, Pavel Siska
2023	J	`jnl`	BOTA: Explainable IoT Malware Detection in Large Networks. IEEE Internet Things J. Daniel Uhrícek, Karel Hynek, Tomás Cejka, Dusan Kolár
2023	J	`jnl`	DNS Over HTTPS Detection Using Standard Flow Telemetry. IEEE Access Kamil Jerábek, Karel Hynek, Ondrej Rysavý, Ivana Burgetová
2023	—	`conf`	DataZoo: Streamlining Traffic Classification Experiments. SAFE@CoNEXT Jan Luxemburk, Karel Hynek
2023	J	`jnl`	DataZoo: Streamlining Traffic Classification Experiments. CoRR Jan Luxemburk, Karel Hynek
2023	—	`conf`	Encrypted traffic classification: the QUIC case. TMA Jan Luxemburk, Karel Hynek, 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
2022	—	`conf`	DeCrypto: Finding Cryptocurrency Miners on ISP Networks. NordSec Richard Plný, Karel Hynek, Tomás Cejka
2022	J	`jnl`	Discovering Coordinated Groups of IP Addresses Through Temporal Correlation of Alerts. IEEE Access Martin Zádník, Jan Wrona, Karel Hynek, Tomás Cejka, Martin Husák
2022	—	`conf`	Large Scale Analysis of DoH Deployment on the Internet. ESORICS (3) Sebastián García, Joaquín Bogado, Karel Hynek, Dmitrii Vekshin, Tomás Cejka, Armin Wasicek
2022	J	`jnl`	Summary of DNS Over HTTPS Abuse. IEEE Access Karel Hynek, Dmitrii Vekshin, Jan Luxemburk, Tomás Cejka, Armin Wasicek
2022	B	`conf`	Tunneling through DNS over TLS providers. CNSM Lukás Melcher, Karel Hynek, Tomás Cejka
2021	—	`conf`	Detection of HTTPS Brute-Force Attacks with Packet-Level Feature Set. CCWC Jan Luxemburk, Karel Hynek, Tomás Cejka
2021	J	`jnl`	Large Scale Measurement on the Adoption of Encrypted DNS. CoRR Sebastián García, Karel Hynek, Dmitrii Vekshin, Tomás Cejka, Armin Wasicek
2021	B	`conf`	Novel HTTPS classifier driven by packet bursts, flows, and machine learning. CNSM Zdena Tropková, Karel Hynek, Tomás Cejka
2021	B	`conf`	Towards Evaluating Quality of Datasets for Network Traffic Domain. CNSM Dominik Soukup, Peter Tisovcík, Karel Hynek, Tomás Cejka
2020	B	`conf`	DoH Insight: detecting DNS over HTTPS by machine learning. ARES Dmitrii Vekshin, Karel Hynek, Tomás Cejka
2020	—	`conf`	Evaluating Bad Hosts Using Adaptive Blacklist Filter. MECO Karel Hynek, Tomás Cejka, Martin Zádník, Hana Kubátová
2020	C	`conf`	Pipelined ALU for effective external memory access in FPGA. DSD Tomás Benes, Michal Kekely, Karel Hynek, Tomás Cejka
2020	Misc	`conf`	Refined Detection of SSH Brute-Force Attackers Using Machine Learning. SEC Karel Hynek, Tomás Benes, Tomás Cejka, Hana Kubátová
2019	—	`conf`	FPGA Packet Reflector for Network Path Testing. IWSSIP Sven Ubik, Karel Hynek, Jiri Melnikov
2019	—	`conf`	Ultra High Resolution Jitter Measurement Method for Ethernet Based Networks. CCWC Karel Hynek, Tomás Benes, Matej Bartik, Pavel Kubalík