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 | 227 | 2020 |
“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 | 119 | 2022 |
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 | 104 | 2022 |
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 | 70 | 2019 |
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 | 69 | 2022 |
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 | 66 | 2019 |
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 | 59 | 2020 |
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 | 49 | 2022 |
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 | 49 | 2020 |
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 | 44 | 2021 |
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 10 (5), 2455-2465, 2022 | 42 | 2022 |
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 | 40 | 2020 |
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 | 39 | 2020 |
Nrflex: Enforcing network slicing in 5g new radio K Boutiba, A Ksentini, B Brik, Y Challal, A Balla Computer Communications 181, 284-292, 2022 | 37 | 2022 |
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 | 35 | 2021 |
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 | 35 | 2021 |
Toward optimal MEC-based collision avoidance system for cooperative inland vessels: A federated deep learning approach W Hammedi, B Brik, SM Senouci IEEE transactions on intelligent transportation systems 24 (2), 2525-2537, 2022 | 32 | 2022 |
A mec-based architecture to secure iot applications using federated deep learning Z Abou El Houda, B Brik, A Ksentini, L Khoukhi IEEE Internet of Things Magazine 6 (1), 60-63, 2023 | 31 | 2023 |
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 | 28 | 2018 |
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 | 26 | 2019 |