Academia

Publishing activity

Conferences and journals

• 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creation, Proceedings of the 12th Prague Embedded Systems Workshop, 2024, LINK, abstract for submitted paper and talk, not peer-reviewed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study, Proceedings of the 11th Prague Embedded Systems Workshop, 2023, LINK, abstract for submitted paper and talk, not peer-reviewed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Active Learning Framework to Automate Network Traffic Classification, arXiv preprint arXiv:2211.08399, 2022, LINK, not peer-reviewed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

• J. Pesek, K. Fukuda, and T. Cejka, Interpretable Threat Detection with Evidential Classifier: The MQTT Case, 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

Submitted papers in the review process

Nothing right now.

Workshops, posters, etc.

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

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

What I am working on right now (December 2024)

• 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)