Navid Malekghaini

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Neural Architecture

Multi Layer Perceptron

Feature Vectors

Classification Accuracy

Top Venues

IFIP Networking

IEEE Trans. Netw. Serv. Manag.

Publications

Navid Malekghaini, Elham Akbari, Mohammad Ali Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stéphanie Tuffin
AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic Classification. IEEE Trans. Netw. Serv. Manag. 21 (3) (2024)
Prabhjot Singh, Shreya Arun Naik, Navid Malekghaini, Diogo Barradas, Noura Limam
A First Look at Generating Website Fingerprinting Attacks via Neural Architecture Search. WPES@CCS (2023)
Navid Malekghaini, Elham Akbari, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stéphane Tuffin
Deep learning for encrypted traffic classification in the face of data drift: An empirical study. Comput. Networks 225 (2023)
Navid Malekghaini, Hauton Tsang, Mohammad Ali Salahuddin, Noura Limam, Raouf Boutaba
FSTC: Dynamic Category Adaptation for Encrypted Network Traffic Classification. IFIP Networking (2023)
Elham Akbari, Sheikh A. Tahmid, Navid Malekghaini, Mohammad Ali Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stéphane Tuffin
A Critical Study of Few-Shot Learning for Encrypted Traffic Classification. CNSM (2023)
Navid Malekghaini, Elham Akbari, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stéphane Tuffin
AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic Classification. CoRR (2023)
Navid Malekghaini, Elham Akbari, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stéphane Tuffin
Data Drift in DL: Lessons Learned from Encrypted Traffic Classification. IFIP Networking (2022)