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
Fields of interest
Network traffic:
- Monitoring
- Aggregation
- Visual representation
- Classification
Intrusion Detection with Convolutional Neural Networks
- Volumetric DDoS attacks
- Portscans
Federated Training
Network traffic distributions and buffer sizing
Projects:
KIWI - Künstliche Intelligenz für sichere Web-Infrastrukturen mit digitalem Identitätsmanagement
| Supervised Lecture | Semester |
|---|---|
| Einführung in Rechnernetze | SS 21 |
| Telematik | WS 21/22 |
| Einführung in Rechnernetze | SS 22 |
| Telematik | WS 22/23 |
| Title | Topics |
|---|---|
| According to my Fields of Interest - Contact me for information | Traffic Monitoring, Synthesis and Classification |
| Comparative Evaluation of Software- and Hardware-based Visual Traffic Monitoring | Network security |
| Multi-label Classification for Parallel Port Scan Source Identification | Traffic Monitoring, Machine Learning |
| Design and Implementation of Dynamic Resolution Adjustment for Visual Traffic Monitoring | Traffic Monitoring |
| Visual Data Augmentation to Improve ML-based DDoS Mitigation | Data Augmentation, Machine Learning, DDoS Mitigation |
| Multi-Pattern DDoS Mitigation through Federatedly Trained Image Segmentation | Machine Learning, Computer Vision, DDoS Mitigation |
| Title | Person in charge |
|---|---|
| Cascading Mitigation of Volumetric DDoS Attacks with CNNs | Tim Marx |
| Data Augmentation of Attack Traffic through Probabilistic DDoS Scenario Modelling | Benedikt Rittner |
| Datenvermehrung zur Verbesserung bildbasierter Detektion volumetrischer DDoS Angriffe | Rafik Abdalla |
| Efficient Detection of Portscans with Convolutional Neural Networks | Robin MIller |
| Evaluation of IP-Based Network Filter Rules for DDoS Mitigation by Quantifying Differences to Generated Rule Sets | Robert Brede |
| Investigation of Burstiness Metrics in Correlation to Buffer Utilization | Pol Pir Ben Coenen |
| Machine Learning for Responsive Detection of Volumetric DDoS Attacks | Johannes Eveslage |
| Privacy-preserving Multi-pattern DDoS Detection with Federated Training | Julian Hohenöcker |
| Traffic Burstiness and its Correlation with Buffer Utilization Metrics | Philipp Ludwig Waldemar Berdesinski |
Publications
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