Pegah Golchin
Orcid: 0000-0002-8686-113X
According to our database1,
Pegah Golchin
authored at least 8 papers
between 2022 and 2024.
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Bibliography
2024
Machine Learning Models in Network Intrusion Detection Systems: Self-Supervised Detection of Malicious Flows and Traffic Patterns Recognition in Programmable Networks.
PhD thesis, 2024
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection.
CoRR, 2024
Integrating Online Learning with Collaborative Machine Learning for Continuous Intrusion Detection in SDN.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2024
A Data-Driven Solution for Improving Transferability of Traffic Flow Feature Selection.
Proceedings of the IFIP Networking Conference, 2024
SSCL-IDS: Enhancing Generalization of Intrusion Detection with Self-Supervised Contrastive Learning.
Proceedings of the IFIP Networking Conference, 2024
2023
Proceedings of the NOMS 2023, 2023
CML-IDS: Enhancing Intrusion Detection in SDN Through Collaborative Machine Learning.
Proceedings of the 19th International Conference on Network and Service Management, 2023
2022
Improving DDoS Attack Detection Leveraging a Multi-aspect Ensemble Feature Selection.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022