![Othmane Belarbi](https://profiles-cardiff.imgix.net/attachments/3454?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Mr Othmane Belarbi
Arddangoswr Graddedig
Yr Ysgol Cyfrifiadureg a Gwybodeg
- BelarbiO@caerdydd.ac.uk
- Abacws, Ystafell Ystafell 5.01, Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG
Cyhoeddiad
2023
- Belarbi, O., Spyridopoulos, T., Anthi, E., Mavromatis, I., Carnelli, P. and Khan, A. 2023. Federated deep learning for intrusion detection in IoT networks. Presented at: GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 04-08 December 20232023 IEEE Global Communications Conference Proceedings. IEEE pp. 237-242., (10.1109/GLOBECOM54140.2023.10437860)
2022
- Belarbi, O., Khan, A., Carnelli, P. and Spyridopoulos, T. 2022. An intrusion detection system based on deep belief networks. Presented at: 4th International Conference on Science of Cyber Security - SciSec 2022, Matsue city, Shimane, Japan, 10-12 August 2022, Vol. 13580. Springer pp. 377-392., (10.1007/978-3-031-17551-0_25)
Cynadleddau
- Belarbi, O., Spyridopoulos, T., Anthi, E., Mavromatis, I., Carnelli, P. and Khan, A. 2023. Federated deep learning for intrusion detection in IoT networks. Presented at: GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 04-08 December 20232023 IEEE Global Communications Conference Proceedings. IEEE pp. 237-242., (10.1109/GLOBECOM54140.2023.10437860)
- Belarbi, O., Khan, A., Carnelli, P. and Spyridopoulos, T. 2022. An intrusion detection system based on deep belief networks. Presented at: 4th International Conference on Science of Cyber Security - SciSec 2022, Matsue city, Shimane, Japan, 10-12 August 2022, Vol. 13580. Springer pp. 377-392., (10.1007/978-3-031-17551-0_25)