Bouziane Brik
Orcid: 0000-0002-3267-5702
According to our database1,
Bouziane Brik
authored at least 69 papers
between 2012 and 2024.
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Bibliography
2024
On Adjusting Data Throughput in IoT Networks: A Deep-Reinforcement-Learning-Based Game Approach.
IEEE Internet Things J., April, 2024
Guest Editorial: Special Issue on Resource-Efficient Collaborative Deep Learning Over B5G/6G Networks.
IEEE Open J. Commun. Soc., 2024
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions.
IEEE Access, 2024
Integrating Blockchain Technology with PKI for Secure and Interoperable Communication in 5G and Beyond Vehicular Networks.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024
2023
Next-power: Next-generation framework for secure and sustainable energy trading in the metaverse.
Ad Hoc Networks, October, 2023
J. Locat. Based Serv., July, 2023
Toward Securing Federated Learning Against Poisoning Attacks in Zero Touch B5G Networks.
IEEE Trans. Netw. Serv. Manag., June, 2023
IEEE Internet Things Mag., June, 2023
IEEE Internet Things Mag., March, 2023
IEEE Internet Things Mag., March, 2023
5G Vehicle-to-Everything at the Cross-Borders: Security Challenges and Opportunities.
IEEE Internet Things Mag., March, 2023
Toward Optimal MEC-Based Collision Avoidance System for Cooperative Inland Vessels: A Federated Deep Learning Approach.
IEEE Trans. Intell. Transp. Syst., February, 2023
When Collaborative Federated Learning Meets Blockchain to Preserve Privacy in Healthcare.
IEEE Trans. Netw. Sci. Eng., 2023
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions.
CoRR, 2023
A Survey on Explainable AI for 6G O-RAN: Architecture, Use Cases, Challenges and Research Directions.
CoRR, 2023
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023
Securing Federated Learning through Blockchain and Explainable AI for Robust Intrusion Detection in IoT Networks.
Proceedings of the IEEE INFOCOM 2023, 2023
CROP: Cluster-Based Routing Using Optimized Framework for IoT-Based Precision Agriculture.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
A Lightweight 5G-V2X Intra-Slice Intrusion Detection System Using Knowledge Distillation.
Proceedings of the IEEE International Conference on Communications, 2023
2022
Guest Editorial Introduction to the Special Section on AI-Powered Internet of Everything (IoE) Services in Next-Generation Wireless Networks.
IEEE Trans. Netw. Sci. Eng., 2022
When Federated Learning Meets Game Theory: A Cooperative Framework to Secure IIoT Applications on Edge Computing.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Green Commun. Netw., 2022
Fog-supported Low-latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach.
ACM Trans. Cyber Phys. Syst., 2022
Secur. Priv., 2022
"Why Should I Trust Your IDS?": An Explainable Deep Learning Framework for Intrusion Detection Systems in Internet of Things Networks.
IEEE Open J. Commun. Soc., 2022
Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges.
IEEE Open J. Commun. Soc., 2022
A Novel IoT-Based Explainable Deep Learning Framework for Intrusion Detection Systems.
IEEE Internet Things Mag., 2022
Power Allocation and Energy Cost Minimization in Cloud Data Centers Microgrids: A Two-Stage Optimization Approach.
IEEE Access, 2022
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
A Low-Latency Fog-based Framework to secure IoT Applications using Collaborative Federated Learning.
Proceedings of the 47th IEEE Conference on Local Computer Networks, 2022
Ensemble Learning for Intrusion Detection in SDN-Based Zero Touch Smart Grid Systems.
Proceedings of the 47th IEEE Conference on Local Computer Networks, 2022
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022
Adaptive Resource Reservation to Survive Against Adversarial Resource Selection Jamming Attacks in 5G NR-V2X Distributed Mode 2.
Proceedings of the IEEE International Conference on Communications, 2022
Edge Computing-enabled Intrusion Detection for C-V2X Networks using Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2022
A Trust and Explainable Federated Deep Learning Framework in Zero Touch B5G Networks.
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the IEEE Global Communications Conference, 2022
2021
Toward Optimal MEC Resource Dimensioning for a Vehicle Collision Avoidance System: A Deep Learning Approach.
IEEE Netw., 2021
On using reinforcement learning for network slice admission control in 5G: Offline vs. online.
Int. J. Commun. Syst., 2021
IEEE Commun. Stand. Mag., 2021
A renewable energy-aware power allocation for cloud data centers: A game theory approach.
Comput. Commun., 2021
Proceedings of the ICC 2021, 2021
2020
On Link Stability Metric and Fuzzy Quantification for Service Selection in Mobile Vehicular Cloud.
IEEE Trans. Intell. Transp. Syst., 2020
IEEE Internet Things Mag., 2020
Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems.
IEEE Access, 2020
AutoMEC: LSTM-based User Mobility Prediction for Service Management in Distributed MEC Resources.
Proceedings of the MSWiM '20: 23rd International ACM Conference on Modeling, 2020
On Predicting Service-oriented Network Slices Performances in 5G: A Federated Learning Approach.
Proceedings of the 45th IEEE Conference on Local Computer Networks, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
2019
Wireless communication in internet of vehicles networks: DSRC-based Vs cellular-based.
Proceedings of the 4th International Conference on Smart City Applications, 2019
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
Ranking Fog nodes for Tasks Scheduling in Fog-Cloud Environments: A Fuzzy Logic Approach.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
Power Dispatching in Cloud Data Centers Using Smart Microgrids: A Game Theory Approach.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Accuracy and Localization-Aware Rescheduling for Flexible Flow Shops in Industry 4.0.
Proceedings of the 6th International Conference on Control, 2019
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019
Towards Predicting System Disruption in Industry 4.0: Machine Learning-Based Approach.
Proceedings of the 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29, 2019
2018
IEEE Trans. Veh. Technol., 2018
Proceedings of the 14th International Conference on Wireless and Mobile Computing, 2018
Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018
Proceedings of the 2018 International Symposium on Networks, Computers and Communications, 2018
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018
2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
2016
Wirel. Commun. Mob. Comput., 2016
Proceedings of the 2016 International Conference on Wireless Networks and Mobile Communications, 2016
2015
Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015
Proceedings of the 2015 Global Information Infrastructure and Networking Symposium, 2015
2013
Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013
2012
An efficient and robust clustered data gathering protocol (CDGP) for vehicular networks.
Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications, 2012