Veröffentlichungen (Pegah Golchin)
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[GZL+24]
PDF		 Pegah Golchin, Chengbo Zhou, Hengyu Liu, Björn Scheuermann, Ralf Kundel, Tobias Meuser:
Integrating Online Learning with Collaborative Machine Learning for Continuous Intrusion Detection in SDN. September 2024.
[GRK24]
PDF		 Pegah Golchin, Nima Rafiee, Ralf Kundel:
A Data-Driven Solution for Improving Transferability of Traffic Flow Feature Selection. In: Proceedings of the 2024 International Federation for Information Processing (IFIP) Networking Conference., 2024.
[GRH24]
PDF		 Pegah Golchin, Nima Rafiee, Mehrdad Hajizadeh, Ahmad Khalil, Ralf Kundel, Ralf Steinmetz:
SSCL-IDS: Enhancing Generalization of Intrusion Detection with Self-Supervised Contrastive Learning. In: Proceedings of the 2024 International Federation for Information Processing (IFIP) Networking Conference., 2024.
[GZA+23]
PDF		 Pegah Golchin, Chengbo Zhou, Pratyush Agnihotri, Mehrdad Hajizadeh, Ralf Kundel, Ralf Steinmetz:
CML-IDS: Enhancing Intrusion Detection in SDN through Collaborative Machine Learning. p. 9, October 2023.
[GWK+23]
PDF		 Pegah Golchin, Jannis Weil, Ralf Kundel, Ralf Steinmetz:
Dynamic Network Intrusion Detection System in Software-Defined Networking. August 2023.
[HBG23]
PDF		 Mehrdad Hajizadeh, Sudip Barua, Pegah Golchin:
FSA-IDS: A Flow-based Self-Active Intrusion Detection System. May 2023.
[GAZ+22-1]
PDF		 Pegah Golchin, Leonard Anderweit, Julian Zobel, Ralf Kundel, Ralf Steinmetz:
In-Network SYN Flooding DDoS Attack Detection Utilizing P4 Switches. In: Proceedings of the 3rd KuVS Fachgespraech “Network Softwarization”, April 2022.
[GKS+22-1]
PDF		 Pegah Golchin, Ralf Kundel, Tim Steuer, Rhaban Hark, Ralf Steinmetz:
Improving DDoS Attack Detection Leveraging a Multi-aspect Ensemble Feature Selection. In: Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS), 2022., April 2022.