Navid Malekghaini

According to our database, Navid Malekghaini authored at least 6 papers between 2022 and 2023.

Collaborative distances:

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

2023

Deep learning for encrypted traffic classification in the face of data drift: An empirical study.

Navid Malekghaini, Elham Akbari, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stéphane Tuffin

Comput. Networks, April, 2023

AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic Classification.

Navid Malekghaini, Elham Akbari, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stéphane Tuffin

CoRR, 2023

A First Look at Generating Website Fingerprinting Attacks via Neural Architecture Search.

Prabhjot Singh, Shreya Arun Naik, Navid Malekghaini, Diogo Barradas, Noura Limam

Proceedings of the 22nd Workshop on Privacy in the Electronic Society, 2023

FSTC: Dynamic Category Adaptation for Encrypted Network Traffic Classification.

Navid Malekghaini, Hauton Tsang, Mohammad Ali Salahuddin, Noura Limam, Raouf Boutaba

Proceedings of the IFIP Networking Conference, 2023

A Critical Study of Few-Shot Learning for Encrypted Traffic Classification.

Elham Akbari, Sheikh A. Tahmid, Navid Malekghaini, Mohammad Ali Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stéphane Tuffin

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

2022

Data Drift in DL: Lessons Learned from Encrypted Traffic Classification.

Navid Malekghaini, Elham Akbari, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stéphane Tuffin

Proceedings of the IFIP Networking Conference, 2022