Pegah Golchin

According to our database, Pegah Golchin authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Machine Learning Models in Network Intrusion Detection Systems: Self-Supervised Detection of Malicious Flows and Traffic Patterns Recognition in Programmable Networks.

Pegah Golchin

PhD thesis, 2024

Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection.

Ahmad Khalil, Tizian Dege, Pegah Golchin, Rostyslav Olshevskyi, Antonio Fernández Anta, Tobias Meuser

CoRR, 2024

A Data-Driven Solution for Improving Transferability of Traffic Flow Feature Selection.

Pegah Golchin, Nima Rafiee, Ralf Kundel

Proceedings of the IFIP Networking Conference, 2024

SSCL-IDS: Enhancing Generalization of Intrusion Detection with Self-Supervised Contrastive Learning.

Pegah Golchin, Nima Rafiee, Mehrdad Hajizadeh, Ahmad Khalil, Ralf Kundel, Ralf Steinmetz

Proceedings of the IFIP Networking Conference, 2024

2023

FSA-IDS: A Flow-based Self-Active Intrusion Detection System.

Mehrdad Hajizadeh, Sudip Barua, Pegah Golchin

Proceedings of the NOMS 2023, 2023

CML-IDS: Enhancing Intrusion Detection in SDN Through Collaborative Machine Learning.

Pegah Golchin, Chengbo Zhou, Pratyush Agnihotri, Mehrdad Hajizadeh, Ralf Kundel, Ralf Steinmetz

Proceedings of the 19th International Conference on Network and Service Management, 2023

2022

Improving DDoS Attack Detection Leveraging a Multi-aspect Ensemble Feature Selection.

Pegah Golchin, Ralf Kundel, Tim Steuer, Rhaban Hark, Ralf Steinmetz

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022