Suivre
Bouziane BRIK
Bouziane BRIK
Assistant Professor at Sharjah university, UAE.
Adresse e-mail validée de sharjah.ac.ae - Page d'accueil
Titre
Citée par
Citée par
Année
Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems
B Brik, A Ksentini, M Bouaziz
IEEE Access 8 (1), 53841-53849, 2020
1882020
Deep learning for B5G open radio access network: Evolution, survey, case studies, and challenges
B Brik, K Boutiba, A Ksentini
IEEE Open Journal of the Communications Society 3, 228-250, 2022
782022
“why should i trust your ids?”: An explainable deep learning framework for intrusion detection systems in internet of things networks
Z Abou El Houda, B Brik, L Khoukhi
IEEE Open Journal of the Communications Society 3, 1164-1176, 2022
752022
Towards predicting system disruption in industry 4.0: Machine learning-based approach
B Brik, B Bettayeb, M Sahnoun, F Duval
Procedia computer science 151, 667-674, 2019
632019
Service-oriented MEC applications placement in a federated edge cloud architecture
B Brik, PA Frangoudis, A Ksentini
ICC 2020-2020 IEEE international conference on communications (ICC), 1-6, 2020
522020
Ranking fog nodes for tasks scheduling in fog-cloud environments: A fuzzy logic approach
MA Benblidia, B Brik, L Merghem-Boulahia, M Esseghir
2019 15th international wireless communications & mobile computing …, 2019
522019
On predicting service-oriented network slices performances in 5G: A federated learning approach
B Brik, A Ksentini
2020 IEEE 45th Conference on Local Computer Networks (LCN), 164-171, 2020
412020
When federated learning meets game theory: A cooperative framework to secure iiot applications on edge computing
Z Abou El Houda, B Brik, A Ksentini, L Khoukhi, M Guizani
IEEE Transactions on Industrial Informatics 18 (11), 7988-7997, 2022
402022
An IoT-based deep learning approach to analyse indoor thermal comfort of disabled people
B Brik, M Esseghir, L Merghem-Boulahia, H Snoussi
Building and Environment 203, 108056, 2021
382021
AutoMEC: LSTM-based user mobility prediction for service management in distributed MEC resources
U Fattore, M Liebsch, B Brik, A Ksentini
Proceedings of the 23rd International ACM Conference on Modeling, Analysis …, 2020
352020
An edge-based social distancing detection service to mitigate covid-19 propagation
A Ksentini, B Brik
IEEE Internet of Things Magazine 3 (3), 35-39, 2020
352020
On using reinforcement learning for network slice admission control in 5G: Offline vs. online
S Bakri, B Brik, A Ksentini
International Journal of Communication Systems 34 (7), e4757, 2021
332021
Toward optimal MEC resource dimensioning for a vehicle collision avoidance system: A deep learning approach
B Brik, A Ksentini
IEEE Network 35 (3), 74-80, 2021
312021
Nrflex: Enforcing network slicing in 5g new radio
K Boutiba, A Ksentini, B Brik, Y Challal, A Balla
Computer Communications 181, 284-292, 2022
302022
A novel iot-based explainable deep learning framework for intrusion detection systems
Z Abou El Houda, B Brik, SM Senouci
IEEE Internet of Things Magazine 5 (2), 20-23, 2022
282022
Renting out cloud services in mobile vehicular cloud
B Brik, N Lagraa, N Tamani, A Lakas, Y Ghamri-Doudane
IEEE Transactions on Vehicular Technology 67 (10), 9882-9895, 2018
252018
On link stability metric and fuzzy quantification for service selection in mobile vehicular cloud
N Tamani, B Brik, N Lagraa, Y Ghamri-Doudane
IEEE Transactions on Intelligent Transportation Systems 21 (5), 2050-2062, 2019
242019
When collaborative federated learning meets blockchain to preserve privacy in healthcare
Z Abou El Houda, AS Hafid, L Khoukhi, B Brik
IEEE Transactions on Network Science and Engineering, 2022
232022
Vehicular cloud service provider selection: A flexible approach
N Tamani, B Brik, N Lagraa, Y Ghamri-Doudane
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
232017
DDGP: Distributed data gathering protocol for vehicular networks
B Brik, N Lagraa, A Lakas, A Cheddad
Vehicular Communications 4, 15-29, 2016
232016
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20