An Intrusion Detection System Based on Deep Belief Networks. - Othmane Belarbi; Aftab Khan 001; Pietro Edoardo Carnelli; Theodoros Spyridopoulos (SciSec, 2022)

Federated Deep Learning for Intrusion Detection in IoT Networks. - Othmane Belarbi; Theodoros Spyridopoulos; Eirini Anthi; Ioannis Mavromatis; Pietro Edoardo Carnelli; Aftab Khan 001 (GLOBECOM, 2023)

Selective Updates and Adaptive Masking for Communication-Efficient Federated Learning. - Alexander Herzog; Robbie Southam; Othmane Belarbi; Saif Anwar; Marcello Bullo; Pietro Carnelli; Aftab Khan 001 (IEEE Trans. Green Commun. Netw., 2024)

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research. - Othmane Belarbi; Theodoros Spyridopoulos; Eirini Anthi; Omer F. Rana; Pietro Carnelli; Aftab Khan 001 (CoRR, 2025)