Samuel Kopmann, M.Sc.
- Wissenschaftlicher Mitarbeiter
- Raum: 5.05
CS 01.99 - Tel.: +49 721 608-46402
- samuel kopmann ∂does-not-exist.kit edu
- s.kit.edu/skopmann
Forschungsbereich Telematik
Institut für Telematik
Karlsruher Institut für Technologie (KIT)
Gebäude 01.99
Kaiserstraße 40
D-76133 KarlsruheFingerprint☝SHA256:715F2573CC055C2B004F6C3A1B340BE99F711EEE0B8DAE3601404AB7FD841EEB
Research Interests
- Network attack detection focusing on volumetric DDoS attacks and Port Scans
- Application of Machine Learning approaches from the area of Computer Vision
- Binary image classification
- Multi-label image classification
- Image segmentation
- Application of Machine Learning approaches from the area of Computer Vision
- Network traffic monitoring at high data rates without packet sampling
- Low dimensional network traffic aggregation
- How much traffic information can be discarded while still preserving enough traffic characteristics for attack detection?
- Hardware- and software-based monitoring at line speed 100G+
- Network traffic data augmentation
- Dealing with limited data availability in the area of networking focusing on Machine Learning use cases
- Creating similar but not identical network traffic from limited, real-work traffic traces
Projects
- KIWI - Künstliche Intelligenz für sichere Web-Infrastrukturen mit digitalem Identitätsmanagement
Awards
- Best Paper Award at the 14th International Conference on the Network of the Future (NoF 2023) for the paper "eMinD: Efficient and Micro-Flow Independent Detection of Distributed Network Attacks"
| Supervised Lecture | Semester |
|---|---|
| Einführung in Rechnernetze | SS 21 |
| Telematik | WS 21/22 |
| Einführung in Rechnernetze | SS 22 |
| Telematik | WS 22/23 |
| Einführung in Rechnernetze | SS 23 |
| Telematik | WS 23/24 |
Publications
Importance Analysis of Micro-Flow Independent Features for Detecting Distributed Network Attacks
Kopmann, S.; Zitterbart, M.
2024. IEEE Transactions on Network and Service Management, 21 (6), 5947–5957. doi:10.1109/TNSM.2024.3460082
Kopmann, S.; Zitterbart, M.
2024. IEEE Transactions on Network and Service Management, 21 (6), 5947–5957. doi:10.1109/TNSM.2024.3460082
Evaluating Drill-Down DDoS Destination Detection
Krack, T.; Kopmann, S.; Zitterbart, M.
2024. 2024 IEEE 49th Conference on Local Computer Networks (LCN), Normandy, France, 08-10 October 2024, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/LCN60385.2024.10639629
Krack, T.; Kopmann, S.; Zitterbart, M.
2024. 2024 IEEE 49th Conference on Local Computer Networks (LCN), Normandy, France, 08-10 October 2024, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/LCN60385.2024.10639629
7D: Demonstrating Drill-Down DDoS Destination Detection
Kopmann, S.; Krack, T.; Zitterbart, M.
2024. 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Stockholm, 5th-8th May 2024, 1–2, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICMLCN59089.2024.10624795
Kopmann, S.; Krack, T.; Zitterbart, M.
2024. 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Stockholm, 5th-8th May 2024, 1–2, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICMLCN59089.2024.10624795
eMinD: Efficient and Micro-Flow Independent Detection of Distributed Network Attacks
Kopmann, S.; Zitterbart, M.
2023. 2023 14th International Conference on Network of the Future (NoF), 159–167, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/NoF58724.2023.10302763
Kopmann, S.; Zitterbart, M.
2023. 2023 14th International Conference on Network of the Future (NoF), 159–167, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/NoF58724.2023.10302763
Impact of Adaptive Packet Sampling on ML-based DDoS Detection
Kopmann, S.; Zitterbart, M.
2023. 2nd Workshop “Machine Learning & Networking” (MaLeNe) Proceedings Co-Located with the 5th International Conference on Networked Systems (NETSYS 2023) Potsdam, Germany, September 4, 2023 (MaLeNe). Ed.: M. Seufert
Kopmann, S.; Zitterbart, M.
2023. 2nd Workshop “Machine Learning & Networking” (MaLeNe) Proceedings Co-Located with the 5th International Conference on Networked Systems (NETSYS 2023) Potsdam, Germany, September 4, 2023 (MaLeNe). Ed.: M. Seufert
Toward Joining DDoS Mitigation and Image Segmentation – Leveraging Computer Vision for Network Security
Kopmann, S.; Heseding, H.; Zitterbart, M.
2023. Datenschutz und Datensicherheit - DuD, 47 (8), 475–477. doi:10.1007/s11623-023-1801-1
Kopmann, S.; Heseding, H.; Zitterbart, M.
2023. Datenschutz und Datensicherheit - DuD, 47 (8), 475–477. doi:10.1007/s11623-023-1801-1
MIDA: Micro-flow Independent Detection of DDoS Attacks with CNNs
Kopmann, S.; Heseding, H.; Zitterbart, M.
2023. Advances in Service-Oriented and Cloud Computing : International Workshops of ESOCC 2022, Wittenberg, Germany, March 22-24, 2022, Revised Selected Papers. Ed.: C. Zirpins, 32–43, Springer International Publishing. doi:10.1007/978-3-031-23298-5_3
Kopmann, S.; Heseding, H.; Zitterbart, M.
2023. Advances in Service-Oriented and Cloud Computing : International Workshops of ESOCC 2022, Wittenberg, Germany, March 22-24, 2022, Revised Selected Papers. Ed.: C. Zirpins, 32–43, Springer International Publishing. doi:10.1007/978-3-031-23298-5_3
HollywooDDoS: Detecting Volumetric Attacks in Moving Images of Network Traffic
Kopmann, S.; Heseding, H.; Zitterbart, M.
2022. 2022 IEEE 47th Conference on Local Computer Networks (LCN), 90–97, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/LCN53696.2022.9843465
Kopmann, S.; Heseding, H.; Zitterbart, M.
2022. 2022 IEEE 47th Conference on Local Computer Networks (LCN), 90–97, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/LCN53696.2022.9843465