Tomáš Čejka
doc. Ing. Tomáš Čejka, Ph.D.
- Head of Department, Tools for Administration and Security, CESNET
- Associate Professor, Faculty of Information Technology, Czech Technical University in Prague
- Founder of the Network Traffic Monitoring Laboratory (NETMON)
I work on network security and high-speed network traffic monitoring. My research focuses on anomaly detection and machine learning for traffic analysis, in particular:
- classification of encrypted traffic (TLS, QUIC, DNS over HTTPS),
- time-series analysis of network behavior,
- large open datasets captured on backbone networks.
At FIT CTU, I teach courses on hardware-accelerated network traffic monitoring and on network communication. I have supervised more than 50 bachelor's and master's theses, and five of my Ph.D. students have successfully defended their dissertations.
Highlights
Best Reviewer Award
International Conference on Network and Service Management (CNSM).
Habilitation (doc.)
“High-Speed Network Traffic Monitoring Supporting Machine Learning”, CTU in Prague.
Three Best Paper Awards
IEEE CCWC 2023, CNSM 2022 and IEEE IEMCON 2020.
Open datasets
CESNET-QUIC22, CESNET-TLS-Year22 and CESNET-TimeSeries24, published in Data in Brief and Scientific Data.
Open-source tools from CESNET
My colleagues at CESNET develop and maintain these open-source projects. They are worth a look:
Network traffic monitoring
ipfixprobe
High-speed IPFIX flow exporter.
IPFIXcol2
Flexible, high-performance IPFIX flow collector.
NEMEA
Modular system for stream-wise traffic analysis and anomaly detection.
Network configuration (NETCONF/YANG)
libyang
YANG data modeling library.
libnetconf2
NETCONF protocol library.
Netopeer2
NETCONF server and command-line client.
sysrepo
YANG-based configuration and operational datastore.
More: CV · selected publications · research projects · supervised students