Academia

Publishing activity

Conferences and journals

• J. Pesek, K. Fukuda, and T. Cejka, Interpretable Threat Detection with Evidential Classifier: The MQTT Case, NOMS 2025, LINK
• K. Jerabek, J. Koumar, J. Setinsky, and J. Pesek, Explainable Anomaly Detection in Network Traffic Using LLM, NOMS 2025, LINK
• J. Koumar, J. Pesek, K. Jerabek, and T. Cejka, Towards Building Network Outlier Detection System for Network Traffic Monitoring, NOMS 2025, LINK
• K. Hynek, J. Luxemburk, J. Pesek, T. Čejka, and P. Šiška, CESNET-TLS-Year22: A year-spanning TLS network traffic dataset from backbone lines, Nature Scientific Data, 2024, LINK
• D. Soukup, J. Pesek, L. Hejcman, D. Benes, and T. Cejka, TCI: A system for distributed network monitoring, troubleshooting and dataset creation, Proceedings of the 12th Prague Embedded Systems Workshop, 2024, LINK, abstract for submitted paper and talk, not peer-reviewed
• D. Soukup, J. Pesek, L. Hejcman, D. Benes, and T. Cejka, TCI: A system for distributed network monitoring, troubleshooting and dataset creation, 37th IEEE/IFIP Network Operations and Management Symposium (NOMS) - Experience Session, 2024
• J. Koumar, K. Hynek, J. Pesek, and T. Cejka, NetTiSA: Extended IP flow with time-series features for universal bandwidth-constrained high-speed network traffic classification, Computer Networks, 2024, LINK
• T. Benes, J. Pesek, and T. Cejka, Look at my Network: An insight into the ISP Backbone Traffic, 19th International Conference on Network and Service Management (CNSM), 2023, LINK
• T. Benes, J. Pešek, and T. Čejka, How to measure high-speed network: a case study, Proceedings of the 11th Prague Embedded Systems Workshop, 2023, LINK, abstract for submitted paper and talk, not peer-reviewed
• J. Pesek, R. Plny, J. Koumar, K. Jeřábek, and T. Cejka, Augmenting Monitoring Infrastructure For Dynamic Software-Defined Networks, 2023 8th International Conference on Smart and Sustainable Technologies, 2023, LINK
• J. Pešek, D. Soukup, and Tomáš Čejka, Active Learning Framework For Long-term Network Traffic Classification, 2023 IEEE 13th Annual Computing and Communication Workshop and Conference, 2023, LINK, best presenter award
• J. Pešek, D. Soukup, and Tomáš Čejka, Active Learning Framework to Automate Network Traffic Classification, arXiv preprint arXiv:2211.08399, 2022, LINK, not peer-reviewed
• J. Pešek, D. Soukup, and Tomáš Čejka, Vision of Active Learning Framework Approach to Network Traffic Analysis Research, Proceedings of the 10th Prague Embedded Systems Workshop, 2022, LINK

Accepted, waiting for publication

Nothing right now.

Workshops

• K. Jerabek, J. Koumar, and J. Pesek, Machine Learning in Network Service Classification, NOMS 2025, LINK

• K. Jerabek, J. Koumar, J. Pesek, and J. Setinsky, Workshop on AI and traffic classification, NECS – PhD Winter School, 2025, LINK

• K. Jerabek, J. Koumar, D. Poliakov, and J. Pesek, Workshop on AI and traffic classification, NECS – PhD Winter School, 2024, LINK

What I am working on right now (May 2025)

• Interpretable and evidential use of ML in network security
• Model maintenance path in network traffic classification (using active learning, etc.)
• Scanning and Internet measurement

Service

• Session Chair at CNSM 2024
• PhD Workshop Session Comittee Member at CNSM 2024
• Student Poster Session Co-Chair at PESW 2024
• Student Poster Session Co-Chair at PESW 2023

Memberships

Current

• Researcher at Network Traffic Monitoring Lab (Netmon)
• Member (PhD student) at Digital Design Department at FIT CTU
• IEEE Student Branch, Czechoslovakia Section

Past

• Intern at Fukuda Lab (supervisor prof. Kensuke Fukuda March ~ September 2024)