05

Publications

165 publications on Google Scholar. The list below follows DBLP (66 journal articles, 54 conference papers, 5 preprints), plus an edited book and book chapters.

Edited book · 2026

Collaborative Learning for 6G Mobile Wireless Networks

H. Hafi, B. Brik, Z. Abou El Houda (Eds.). Academic Press (Elsevier), 2026, 278 pp. ISBN 978-0-443-40570-9.

  • J1
    Deep Reinforcement Learning for Cooperative Intelligent Transportation Systems: A Survey on Architecture, Use Cases, and Future Directions
    M. E. A. Ameur, B. Brik, H. Drias, M. Ameur, S. Foufou, and A. Y. Zomaya
    IEEE Trans. Intell. Transp. Syst. 27(8): 8960–8981, 2026 DOI
  • J2
    EUROCOMPLY: Enabling Zero-Touch AI Compliance Auditing via LLM-Based Agentic AI
    M. Ameur, B. Brik, and A. Ksentini
    IEEE Commun. Mag. 64(7): 82–88, 2026 DOI
  • J3
    Explainable common spatial pattern to improve the design of brain-computer interfaces
    K. Belwafi, S. Gannouni, B. Brik, H. Aboalsamh, and H. Mathkour
    J. King Saud Univ. Comput. Inf. Sci. 38(6), 2026 DOI
  • J4
    Advanced Artificial Intelligence for Zero-Touch Service Management Networks
    B. Brik, M. Bagaa, M. F. Younis, and M. Di Renzo
    IEEE Commun. Mag. 64(1): 14–15, 2026 DOI
  • J5
    Split Federated Learning-Driven Resource-Efficient MEC Framework for UAV-Based Networks
    H. Hafi, B. Brik, Z. Abou El Houda, and A. Ksentini
    IEEE Trans. Netw. Sci. Eng. 13: 2923–2934, 2026 DOI
  • J6
    Enhancing Spectral Efficiency and Resilience in SAGIN-ITS: An IRS-Assisted Semantic Offloading Framework
    A. Mehrban, H. Moudoud, B. Brik, and Z. Abou El Houda
    IEEE Internet Things Mag. 9(4): 30–36, 2026 DOI
  • J7
    Privacy-aware EV charging-station assignment: QoS-fairness optimization with traffic-analysis resistance
    A. Y. Sarhan, M. Jemmali, B. Brik, and A. Banjar
    PeerJ Comput. Sci. 12: e3909, 2026 DOI
  • C1
    Post-Quantum Cryptography Benchmarking and Crypto-Agile Migration for Quantum-Resilient Network Security
    S. AlAbdulla, M. Al Samara, O. Ben Atia, I. Bennis, and B. Brik
    in International Wireless Communications and Mobile Computing, IWCMC 2026, Wuzhou, China, June 1-6, 2026, pp. 1701–1706, 2026 DOI
  • C2
    Agentic-NWDAF: Enabling Intent-driven Agentic Intelligence for Autonomous 6G Network Analytics
    M. Ameur, B. Brik, and A. Ksentini
    in IEEE International Conference on Communications, ICC 2026, Glasgow, United Kingdom, May 24-28, 2026, pp. 1–6, 2026 DOI
  • C3
    Uncertainty-Aware Zero-Touch Drift Management for Trustworthy DRL in 5G/6G Networks
    M. Ameur, B. Brik, and A. Ksentini
    in IEEE INFOCOM 2026 - IEEE Conference on Computer Communications, Tokyo, Japan, May 18-21, 2026, pp. 1– 10, 2026 DOI
  • C4
    Privacy-Preserving Edge-Offloaded Split Federated Learning for In-vehicle Intrusion Detection
    A. Amara Korba, and B. Brik
    in International Wireless Communications and Mobile Computing, IWCMC 2026, Wuzhou, China, June 1-6, 2026, pp. 1397–1402, 2026 DOI
  • C5
    Game-Theoretic Security Orchestration for Cross-RIC Policy Conflicts in O-RAN
    A. Mehrban, H. Moudoud, B. Brik, L. Khoukhi, and Z. Abou El Houda
    in IEEE International Conference on Communications, ICC 2026, Glasgow, United Kingdom, May 24-28, 2026, pp. 1–6, 2026 DOI
  • C6
    Analyzing Classifier Trade-offs for Behavioural Biometric Continuous Authentication
    M. Al Samara, I. Bennis, M. Gilg, O. Ben Atia, B. Brik, and A. Abouaissa
    in International Wireless Communications and Mobile Computing, IWCMC 2026, Wuzhou, China, June 1-6, 2026, pp. 1789–1794, 2026 DOI
  • C7
    QSFL-ID: Quantum-Split Federated Learning for Intrusion Detection in IIoT Networks
    A. Selamnia, H. Moudoud, L. Khoukhi, B. Brik, and Z. Abou El Houda
    in IEEE International Conference on Communications, ICC 2026, Glasgow, United Kingdom, May 24-28, 2026, pp. 1–6, 2026 DOI
  • Conf.
    When MLOps Meets NWDAF to Enable Autonomous Next Generation Network Analytics
    M. Ameur, B. Brik, A. Ksentini
    IEEE ICMLCN, Abu Dhabi, 2026
  • P1
    LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization
    M. Ameur, A. Mekrache, B. Brik, and A. Ksentini
    arXiv:2607.16066, 2026 DOI
  • P2
    Toward 6G-enabled Brain Computer Interfaces: Technical Requirements, Use Cases, Challenges, and Future Trends
    H. Hafi, B. Brik, N. Jamil, and A. N. Belkacem
    arXiv:2605.20939, 2026 DOI
  • B1
    Collaborative Learning for 6G Mobile Wireless Networks
    H. Hafi, B. Brik, Z. Abou El Houda (Eds.)
    Academic Press (Elsevier), 2026. ISBN 978-0-443-40570-9 Publisher
  • J8
    Predictive Maintenance for UWSNs : A Practical Implementation of Fault Detection Using NDN and Deep Learning
    A. Benarfa, S. Dahmane, B. Brik, and M. B. Yagoubi
    Internet Technol. Lett. 8(5), 2025 DOI
  • J9
    Deep Learning Empowered Service Selection in FANETs: A 5G-Enabled UAV-Cloud Architecture
    M. Ben Bezziane, M. Abbas, H. Alfraihi, B. Brik, Y. Khaldi, O. Aiadi, and S. Hasan
    IEEE Access 13: 63877–63894, 2025 DOI
  • J10
    Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research
    B. Brik, H. Chergui, L. Zanzi, F. Devoti, A. Ksentini, M. S. Siddiqui, X. Costa-Pérez, and C. V. Verikoukis
    IEEE Commun. Surv. Tutorials 27(5): 2826–2859, 2025 DOI
  • J11
    Guest Editorial of the Special Section on Split Federated Learning for Resource-Constrained Consumer Electronics: Applications and Challenges
    B. Brik, H. Hafi, and A. Ksentini
    IEEE Trans. Consumer Electron. 71(3): 8953–8955, 2025 DOI
  • J12
    A Survey on Deep Reinforcement Learning Applications in Autonomous Systems: Applications, Open Challenges, and Future Directions
    S. Govinda, B. Brik, and S. Harous
    IEEE Trans. Intell. Transp. Syst. 26(7): 11088–11113, 2025 DOI
  • J13
    A privacy-preserving Self-Supervised Learning-based intrusion detection system for 5G-V2X networks
    S. Hossain, S.-M. Senouci, B. Brik, and A. Boualouache
    Ad Hoc Networks 166: 103674, 2025 DOI
  • J14
    When Federated Learning Meets Knowledge Distillation to Secure Consumer Edge Network
    Z. Abou El Houda, H. Moudoud, and B. Brik
    IEEE Trans. Consumer Electron. 71(2): 7192–7200, 2025 DOI
  • J15
    Making Sense of Big Data in Intelligent Transportation Systems: Current Trends, Challenges and Future Directions
    M. A. Jan, M. Adil, B. Brik, S. Harous, and S. Abbas
    ACM Comput. Surv. 57(8): 197:1–197:43, 2025 DOI
  • J16
    An In-Depth Comparative Study of Quantum-Classical Encoding Methods for Network Intrusion Detection
    A. Kadi, A. Selamnia, Z. Abou El Houda, H. Moudoud, B. Brik, and L. Khoukhi
    IEEE Open J. Commun. Soc. 6: 1129–1148, 2025 DOI
  • J17
    On Combining XAI and LLMs for Trustworthy Zero-Touch Network and Service Management in 6G
    A. Mekrache, M. Mekki, A. Ksentini, B. Brik, and C. V. Verikoukis
    IEEE Commun. Mag. 63(4): 154–160, 2025 DOI
  • J18
    A Blockchain-Based Cross-Domain DDoS Mitigation in Consumer Networks
    H. Moudoud, Z. Abou El Houda, and B. Brik
    IEEE Trans. Consumer Electron. 71(2): 7095–7104, 2025 DOI
  • J19
    Advancing Privacy and Fairness in Healthcare Using Federated Edge Learning and Blockchain
    H. Moudoud, Z. Abou El Houda, and B. Brik
    IEEE Internet Things J. 12(22): 46129–46137, 2025 DOI
  • J20
    Advancing Robustness and Privacy in Federated Learning for Secure Autonomous Vehicle Systems
    H. Moudoud, Z. Abou El Houda, B. Brik, M. A. Jan, and B. Alshawi
    IEEE Trans. Consumer Electron. 71(2): 6183–6192, 2025 DOI
  • J21
    LLMs to Secure Consumer Networks: Open Problems and Future Directions
    H. Moudoud, Z. Abou El Houda, and B. Brik
    IEEE Consumer Electron. Mag. 14(5): 51–59, 2025 DOI
  • J22
    A Novel Variable Neighborhood Search for Empowered 5G Multi-Access Edge Computing (MEC) Resources Dimensioning for Autonomous and Connected Vehicles
    K. T. Mursi, B. Brik, M. Jemmali, and A. Y. Sarhan
    IEEE Access 13: 209905– 209920, 2025 DOI
  • C8
    Vehicular Edge Computing: An Enhanced Vehicle Participant Selection System for Federated Learning
    S. Dahmane, A. Benarfa, B. Brik, and Z. Abou El Houda
    in International Wireless Communications and Mobile Computing, IWCMC 2025, Abu Dhabi, United Arab Emirates, May 12-16, 2025, pp. 1501–1506, 2025 DOI
  • C9
    A Blockchain-Enabled Multi-Layered Zero-Trust Security Framework for O-RAN
    A. Mehrban, Z. Abou El Houda, H. Moudoud, B. Brik, and L. Khoukhi
    in International Wireless Communications and Mobile Computing, IWCMC 2025, Abu Dhabi, United Arab Emirates, May 12-16, 2025, pp. 1564–1569, 2025 DOI
  • C10
    Securing O-RAN Equipment Using Blockchain-Based Supply Chain Verification
    A. Mehrban, Z. Abou El Houda, H. Moudoud, B. Brik, and L. Khoukhi
    in International Wireless Communications and Mobile Computing, IWCMC 2025, Abu Dhabi, United Arab Emirates, May 12-16, 2025, pp. 1570–1575, 2025 DOI
  • C11
    AI-Driven Optimisation for Mobile Behavioural Biometrics Continuous Authentication
    M. Al Samara, I. Bennis, M. Gilg, B. Brik, and A. Abouaissa
    in 21th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2025, Marrakesh, Morocco, October 20-22, 2025, pp. 1–6, 2025 DOI
  • Conf.
    Adapt but Do Not Forget: Towards Enhancing Drift Handling in 6G Networks
    M. Ameur, B. Brik, A. Ksentini
    IEEE ICMLCN, Barcelona, 2025
  • Journal
    Dual Self-Attention is What You Need for Model Drift Detection in 6G Networks
    M. Ameur, B. Brik, A. Ksentini
    IEEE Trans. Machine Learning in Communications and Networking, 3: 690–709, 2025
  • J23
    Cooperative parking search strategy through V2X communications: an agent-based decision
    M. E. A. Ameur, H. Drias, and B. Brik
    Wirel. Networks 30(8): 7167–7188, 2024 DOI
  • J24
    Guest Editorial: Special Issue on Resource-Efficient Collaborative Deep Learning Over B5G/6G Networks
    B. Brik, M. Bennis, X. Wang, and M. Guizani
    IEEE Open J. Commun. Soc. 5: 1026–1028, 2024 DOI
  • J25
    On Adjusting Data Throughput in IoT Networks: A Deep-Reinforcement-Learning-Based Game Approach
    B. Brik, M. Esseghir, and L. Merghem-Boulahia
    IEEE Internet Things J. 11(7): 11368–11380, 2024 DOI
  • J26
    Early Network Intrusion Detection Enabled by Attention Mechanisms and RNNs
    T. E. T. Djaidja, B. Brik, S. M. Senouci, A. Boualouache, and Y. Ghamri-Doudane
    IEEE Trans. Inf. Forensics Secur. 19: 7783–7793, 2024 DOI
  • J27
    Federated learning for 5G and beyond, a blessing and a curse- an experimental study on intrusion detection systems
    T. E. T. Djaidja, B. Brik, A. Boualouache, S. M. Senouci, and Y. Ghamri-Doudane
    Comput. Secur. 139: 103707, 2024 DOI
  • J28
    Time-efficient detection of false position attack in 5G and beyond vehicular networks
    T. E. T. Djaidja, B. Brik, A. Boualouache, S. M. Senouci, and Y. Ghamri-Doudane
    Comput. Networks 247: 110461, 2024 DOI
  • J29
    A Scalable Federated Modular Neural Network Architecture for Edge-Enabled Beyond-5G Complex Systems
    A. Djoudi, Y. Guellouma, H. Cherroun, and B. Brik
    IT Prof. 26(6): 62–69, 2024 DOI
  • J30
    Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions
    H. Hafi, B. Brik, P. A. Frangoudis, A. Ksentini, and M. Bagaa
    IEEE Access 12: 9890–9930, 2024 DOI
  • J31
    A Privacy-Preserving Framework for Efficient Network Intrusion Detection in Consumer Network Using Quantum Federated Learning
    Z. Abou El Houda, H. Moudoud, B. Brik, and M. Adil
    IEEE Trans. Consumer Electron. 70(4): 7121–7128, 2024 DOI
  • J32
    Blockchain-Enabled Federated Learning for Enhanced Collaborative Intrusion Detection in Vehicular Edge Computing
    Z. Abou El Houda, H. Moudoud, B. Brik, and L. Khoukhi
    IEEE Trans. Intell. Transp. Syst. 25(7): 7661–7672, 2024 DOI
  • J33
    Federated Deep Reinforcement Learning for Efficient Jamming Attack Mitigation in O-RAN
    Z. Abou El Houda, H. Moudoud, and B. Brik
    IEEE Trans. Veh. Technol. 73(7): 9334–9343, 2024 DOI
  • J34
    Securing IIoT applications in 6G and beyond using adaptive ensemble learning and zero-touch multi-resource provisioning
    Z. Abou El Houda, B. Brik, and A. Ksentini
    Comput. Commun. 216: 260–273, 2024 DOI
  • J35
    A decentralized blockchain-based authentication scheme for cross-communication in IoT networks
    C. Mahmoud, S. Aouag, H. Cherroun, B. Brik, and A. Rezgui
    Clust. Comput. 27(3): 2505–2523, 2024 DOI
  • J36
    Advancing Security and Trust in WSNs: A Federated Multi-Agent Deep Reinforcement Learning Approach
    H. Moudoud, Z. Abou El Houda, and B. Brik
    IEEE Trans. Consumer Electron. 70(4): 6909–6918, 2024 DOI
  • J37
    Zero Trust Security Architecture for 6G Open Radio Access Networks (ORAN)
    H. Moudoud, Z. Abou El Houda, and B. Brik
    IEEE Netw. Lett. 6(4): 272–275, 2024 DOI
  • C12
    Machine Learning-Based Big Data Analytics in Smart Cities: A Survey of Current Trends and Future Research Directions
    M. H. AlThabahi, M. A. Jan, B. Brik, and S. Foufou
    in IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2024, Sharjah, United Arab Emirates, December 16-19, 2024, pp. 190–197, 2024 DOI
  • C13
    Leveraging LLMs to eXplain DRL Decisions for Transparent 6G Network Slicing
    M. Ameur, B. Brik, and A. Ksentini
    in 10th IEEE International Conference on Network Softwarization, NetSoft 2024, Saint Louis, MO, USA, June 24-28, 2024, pp. 204–212, 2024 DOI
  • C14
    Leveraging Transfer Learning with Federated DRL for Autonomous Vehicles Platooning
    M. E. A. Ameur, H. Drias, B. Brik, and M. Ameur
    in International Wireless Communications and Mobile Computing, IWCMC 2024, Ayia Napa, Cyprus, May 27-31, 2024, pp. 1601–1606, 2024 DOI
  • C15
    On the Performance Evaluation of Mobility Model-Based GPSR Routing Protocol in Flying Ad hoc Networks
    M. Ben Bezziane, Y. Sahraoui, B. Brik, L. Mekkas, S. Bougeurra, and A. Khaldi
    in 6th International Conference on Pattern Analysis and Intelligent Systems, PAIS 2024, El Oued, Algeria, April 24-25, 2024, pp. 1–7, 2024 DOI
  • C16
    Impact of Neural Network Depth on Split Federated Learning Performance in Low-Resource UAV Networks
    H. Hafi, B. Brik, M. Bagaa, and A. Ksentini
    in International Wireless Communications and Mobile Computing, IWCMC 2024, Ayia Napa, Cyprus, May 27-31, 2024, pp. 1290–1295, 2024 DOI
  • C17
    Reputation-Aware Scheduling for Secure Internet of Drones: A Federated Multi-Agent Deep Reinforcement Learning Approach
    H. Moudoud, Z. Abou El Houda, and B. Brik
    in IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops, Vancouver, BC, Canada, May 20, 2024, pp. 1–6, 2024 DOI
  • C18
    Securing the Metaverse: The Intersection of ML-Based Oracles and Blockchain Technology
    H. Moudoud, Z. Abou El Houda, and B. Brik
    in 2nd International Conference on Intelligent Metaverse Technologies & Applications, iMETA 2024, Dubai, United Arab Emirates, November 26-29, 2024, pp. 238–245, 2024 DOI
  • C19
    Integrating Blockchain Technology with PKI for Secure and Interoperable Communication in 5G and Beyond Vehicular Networks
    F. A. Shewajo, A. Boualouache, S. M. Senouci, I. El Korbi, B. Brik, and K. A. Fante
    in 21st IEEE Consumer Communications & Networking Conference, CCNC 2024, Las Vegas, NV, USA, January 6-9, 2024, pp. 998–1001, 2024 DOI
  • C20
    Deep Learning-Driven Resource Allocation for MEC-Enabled UAV Collision Avoidance System
    K. Zairi, B. Brik, Y. Guellouma, and H. Cherroun
    in International Wireless Communications and Mobile Computing, IWCMC 2024, Ayia Napa, Cyprus, May 27-31, 2024, pp. 1412–1417, 2024 DOI
  • P3
    Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks
    A. Amara Korba, A. Boualouache, B. Brik, R. Rahal, Y. Ghamri-Doudane, and S. M. Senouci
    arXiv:2407.03070, 2024 DOI
  • J38
    A survey on data dissemination in internet of vehicles networks
    N. Azzaoui, A. Korichi, B. Brik, and H. Amirat
    J. Locat. Based Serv. 17(3): 207–250, 2023 DOI
  • J39
    5G Vehicle-to-Everything at the Cross-Borders: Security Challenges and Opportunities
    A. Boualouache, B. Brik, Q. Tang, A. Amara Korba, S. Cherrier, S.-M. Senouci, E. Pardo, Y. Ghamri-Doudane, R. Langar, and T. Engel
    IEEE Internet Things Mag. 6(1): 114–119, 2023 DOI
  • J40
    On-Demand Security Framework for 5GB Vehicular Networks
    A. Boualouache, B. Brik, S.-M. Senouci, and T. Engel
    IEEE Internet Things Mag. 6(2): 26–31, 2023 DOI
  • J41
    Guest Editorial: Multi-Access Networking for Extended Reality and Metaverse
    B. Brik, H. Moustafa, Y. Zhang, A. Lakas, and S. Subramanian
    IEEE Internet Things Mag. 6(1): 12–13, 2023 DOI
  • J42
    Toward Optimal MEC-Based Collision Avoidance System for Cooperative Inland Vessels: A Federated Deep Learning Approach
    W. Hammedi, B. Brik, and S. M. Senouci
    IEEE Trans. Intell. Transp. Syst. 24(2): 2525–2537, 2023 DOI
  • J43
    A MEC-Based Architecture to Secure IoT Applications using Federated Deep Learning
    Z. Abou El Houda, B. Brik, A. Ksentini, and L. Khoukhi
    IEEE Internet Things Mag. 6(1): 60–63, 2023 DOI
  • J44
    Next-power: Next-generation framework for secure and sustainable energy trading in the metaverse
    Z. Abou El Houda, and B. Brik
    Ad Hoc Networks 149: 103243, 2023 DOI
  • J45
    When Collaborative Federated Learning Meets Blockchain to Preserve Privacy in Healthcare
    Z. Abou El Houda, A. Senhaji Hafid, L. Khoukhi, and B. Brik
    IEEE Trans. Netw. Sci. Eng. 10(5): 2455–2465, 2023 DOI
  • J46
    Toward Securing Federated Learning Against Poisoning Attacks in Zero Touch B5G Networks
    S. Ben Saad, B. Brik, and A. Ksentini
    IEEE Trans. Netw. Serv. Manag. 20(2): 1612–1624, 2023 DOI
  • C21
    A Lightweight 5G-V2X Intra-Slice Intrusion Detection System Using Knowledge Distillation
    S. Hossain, A. Boualouache, B. Brik, and S.-M. Senouci
    in IEEE International Conference on Communications, ICC 2023, Rome, Italy, May 28 - June 1, 2023, pp. 1112–1117, 2023 DOI
  • C22
    Securing Federated Learning through Blockchain and Explainable AI for Robust Intrusion Detection in IoT Networks
    Z. Abou El Houda, H. Moudoud, B. Brik, and L. Khoukhi
    in IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshop, Hoboken, NJ, USA, May 20, 2023, pp. 1–6, 2023 DOI
  • C23
    Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks
    A. Amara Korba, A. Boualouache, B. Brik, R. Rahal, Y. Ghamri-Doudane, and S. M. Senouci
    in IEEE International Conference on Communications, ICC 2023, Rome, Italy, May 28 - June 1, 2023, pp. 1137–1142, 2023 DOI
  • C24
    XAI-Enabled Fine Granular Vertical Resources Autoscaler
    M. Mekki, B. Brik, A. Ksentini, and C. V. Verikoukis
    in 9th IEEE International Conference on Network Softwarization, NetSoft 2023, Madrid, Spain, June 19-23, 2023, pp. 161–169, 2023 DOI
  • C25
    CROP: Cluster-Based Routing Using Optimized Framework for IoT-Based Precision Agriculture
    S. Verma, S. Kaur, A. Adhya, G. Kaddoum, and B. Brik
    in IEEE International Conference on Communications, ICC 2023, Rome, Italy, May 28 - June 1, 2023, pp. 4725–4730, 2023 DOI
  • P4
    A Survey on Explainable AI for 6G O-RAN: Architecture, Use Cases, Challenges and Research Directions
    B. Brik, H. Chergui, L. Zanzi, F. Devoti, A. Ksentini, M. S. Siddiqui, X. Costa-Pérez, and C. V. Verikoukis
    arXiv:2307.00319, 2023 DOI
  • P5
    Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions
    H. Hafi, B. Brik, P. A. Frangoudis, and A. Ksentini
    arXiv:2309.09086, 2023 DOI
  • J47
    Power Allocation and Energy Cost Minimization in Cloud Data Centers Microgrids: A Two-Stage Optimization Approach
    M. A. Benblidia, B. Brik, M. Esseghir, and L. Merghem-Boulahia
    IEEE Access 10: 66213–66226, 2022 DOI
  • J48
    NRflex: Enforcing network slicing in 5G New Radio
    K. Boutiba, A. Ksentini, B. Brik, Y. Challal, and A. Balla
    Comput. Commun. 181: 284–292, 2022 DOI
  • J49
    Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges
    B. Brik, K. Boutiba, and A. Ksentini
    IEEE Open J. Commun. Soc. 3: 228–250, 2022 DOI
  • J50
    Fog-supported Low-latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach
    B. Brik, M. Messaadia, M. Sahnoun, B. Bettayeb, and M. A. Benatia
    ACM Trans. Cyber Phys. Syst. 6(2): 14:1–14:23, 2022 DOI
  • J51
    GSS-VF: A Game-Theoretic Approach for Service Discovery in Fog Network of Vehicles
    B. Brik, J. A. Khan, Y. Ghamri-Doudane, N. Lagraa, and A. Lakas
    IEEE Trans. Green Commun. Netw. 6(3): 1418–1427, 2022 DOI
  • J52
    Guest Editorial Introduction to the Special Section on AI-Powered Internet of Everything (IoE) Services in Next-Generation Wireless Networks
    B. Brik, K. Dev, Y. Xiao, G. Han, and A. Ksentini
    IEEE Trans. Netw. Sci. Eng. 9(5): 2952–2954, 2022 DOI
  • J53
    "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, and L. Khoukhi
    IEEE Open J. Commun. Soc. 3: 1164–1176, 2022 DOI
  • J54
    A Novel IoT-Based Explainable Deep Learning Framework for Intrusion Detection Systems
    Z. Abou El Houda, B. Brik, and S.-M. Senouci
    IEEE Internet Things Mag. 5(2): 20–23, 2022 DOI
  • J55
    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, and M. Guizani
    IEEE Trans. Ind. Informatics 18(11): 7988–7997, 2022 DOI
  • J56
    An end-to-end trusted architecture for network slicing in 5G and beyond networks
    S. Ben Saad, A. Ksentini, and B. Brik
    Secur. Priv. 5(1), 2022 DOI
  • C26
    Deep Learning-based Intra-slice Attack Detection for 5G-V2X Sliced Networks
    A. Boualouache, T. E. T. Djaidja, S.-M. Senouci, Y. Ghamri-Doudane, B. Brik, and T. Engel
    in 95th IEEE Vehicular Technology Conference, VTC Spring 2022, Helsinki, Finland, June 19-22, 2022, pp. 1–5, 2022 DOI
  • C27
    Adaptive Resource Reservation to Survive Against Adversarial Resource Selection Jamming Attacks in 5G NR-V2X Distributed Mode 2
    T. E. T. Djaidja, B. Brik, S. M. Senouci, and Y. Ghamri-Doudane
    in IEEE International Conference on Communications, ICC 2022, Seoul, Korea, May 16-20, 2022, pp. 3406–3411, 2022 DOI
  • C28
    DRIVE-B5G: A Flexible and Scalable Platform Testbed for B5G-V2X Networks
    T. E. T. Djaidja, B. Brik, A. Boualouache, S. M. Senouci, and Y. Ghamri-Doudane
    in IEEE Global Communications Conference, GLOBECOM 2022, Rio de Janeiro, Brazil, December 4-8, 2022, pp. 2800–2805, 2022 DOI
  • C29
    Federated Deep Learning-Based Framework to Avoid Collisions Between Inland Ships
    W. Hammedi, B. Brik, and S. M. Senouci
    in 2022 International Wireless Communications and Mobile Computing, IWCMC 2022, Dubrovnik, Croatia, May 30 - June 3, 2022, pp. 967–972, 2022 DOI
  • C30
    A Low-Latency Fog-based Framework to secure IoT Applications using Collaborative Federated Learning
    Z. Abou El Houda, L. Khoukhi, and B. Brik
    in 47th IEEE Conference on Local Computer Networks, LCN 2022, Edmonton, AB, Canada, September 26-29, 2022, pp. 343–346, 2022 DOI
  • C31
    Ensemble Learning for Intrusion Detection in SDN-Based Zero Touch Smart Grid Systems
    Z. Abou El Houda, B. Brik, and L. Khoukhi
    in 47th IEEE Conference on Local Computer Networks, LCN 2022, Edmonton, AB, Canada, September 26-29, 2022, pp. 149–156, 2022 DOI
  • C32
    A Trust and Explainable Federated Deep Learning Framework in Zero Touch B5G Networks
    S. Ben Saad, B. Brik, and A. Ksentini
    in IEEE Global Communications Conference, GLOBECOM 2022, Rio de Janeiro, Brazil, December 4-8, 2022, pp. 1037–1042, 2022 DOI
  • C33
    Edge Computing-enabled Intrusion Detection for C-V2X Networks using Federated Learning
    A. Selamnia, B. Brik, S. M. Senouci, A. Boualouache, and S. Hossain
    in IEEE Global Communications Conference, GLOBECOM 2022, Rio de Janeiro, Brazil, December 4-8, 2022, pp. 2080–2085, 2022 DOI
  • J57
    On using reinforcement learning for network slice admission control in 5G: Offline vs. online
    S. Bakri, B. Brik, and A. Ksentini
    Int. J. Commun. Syst. 34(7), 2021 DOI
  • J58
    A renewable energy-aware power allocation for cloud data centers: A game theory approach
    M. A. Benblidia, B. Brik, M. Esseghir, and L. Merghem-Boulahia
    Comput. Commun. 179: 102–111, 2021 DOI
  • J59
    Toward Optimal MEC Resource Dimensioning for a Vehicle Collision Avoidance System: A Deep Learning Approach
    B. Brik, and A. Ksentini
    IEEE Netw. 35(3): 74–80, 2021 DOI
  • J60
    Toward the Integration of UAVs’ Services into the Cloud
    S. Djeradi, T. Bendouma, N. Lagraa, C. A. Kerrache, A. Lakas, and B. Brik
    IEEE Commun. Stand. Mag. 5(4): 25–32, 2021 DOI
  • C34
    A Trust architecture for the SLA management in 5G networks
    S. Ben Saad, A. Ksentini, and B. Brik
    in ICC 2021 - IEEE International Conference on Communications, Montreal, QC, Canada, June 14-23, 2021, pp. 1–6, 2021 DOI
  • B2
    A Reliable Data Forwarding Technique for 5G Internet of Vehicles Networks
    N. Azzaoui, A. Korichi, B. Brik
    in Innovative and Intelligent Technology-Based Services for Smart Environments, CRC Press, 2021
  • J61
    Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems
    B. Brik, A. Ksentini, and M. Bouaziz
    IEEE Access 8: 53841–53849, 2020 DOI
  • J62
    An Edge-Based Social Distancing Detection Service to Mitigate COVID-19 Propagation
    A. Ksentini, and B. Brik
    IEEE Internet Things Mag. 3(3): 35–39, 2020 DOI
  • J63
    On Link Stability Metric and Fuzzy Quantification for Service Selection in Mobile Vehicular Cloud
    N. Tamani, B. Brik, N. Lagraa, and Y. Ghamri-Doudane
    IEEE Trans. Intell. Transp. Syst. 21(5): 2050–2062, 2020 DOI
  • C35
    On Predicting Service-oriented Network Slices Performances in 5G: A Federated Learning Approach
    B. Brik, and A. Ksentini
    in 45th IEEE Conference on Local Computer Networks, LCN 2020, Sydney, Australia, November 16-19, 2020, pp. 164–171, 2020 DOI
  • C36
    Service-Oriented MEC Applications Placement in a Federated Edge Cloud Architecture
    B. Brik, P. A. Frangoudis, and A. Ksentini
    in 2020 IEEE International Conference on Communications, ICC 2020, Dublin, Ireland, June 7-11, 2020, pp. 1–6, 2020 DOI
  • C37
    AutoMEC: LSTM-based User Mobility Prediction for Service Management in Distributed MEC Resources
    U. Fattore, M. Liebsch, B. Brik, and A. Ksentini
    in MSWiM ’20: 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Alicante, Spain, November 16-20, 2020, pp. 155–159, 2020 DOI
  • B3
    On the Communication Strategies in Heterogeneous Internet of Vehicles
    N. Azzaoui, A. Korichi, B. Brik, M. Fekair, C. A. Kerrache
    in Innovations in Smart Cities Applications, Springer, 2020
  • C38
    Wireless communication in internet of vehicles networks: DSRC-based Vs cellular-based
    N. Azzaoui, A. Korichi, B. Brik, M. E. A. Fekair, and C. A. Kerrache
    in Proceedings of the 4th International Conference on Smart City Applications, SCA 2019, Casablanca, Morocco, October 02-04, 2019, pp. 23:1–23:6, 2019 DOI
  • C39
    Power Dispatching in Cloud Data Centers Using Smart Microgrids: A Game Theory Approach
    M. A. Benblidia, B. Brik, M. Esseghir, and L. Merghem-Boulahia
    in 2019 IEEE Global Communications Conference, GLOBECOM 2019, Waikoloa, HI, USA, December 9-13, 2019, pp. 1–6, 2019 DOI
  • C40
    Ranking Fog nodes for Tasks Scheduling in Fog-Cloud Environments: A Fuzzy Logic Approach
    M. A. Benblidia, B. Brik, L. Merghem-Boulahia, and M. Esseghir
    in 15th International Wireless Communications & Mobile Computing Conference, IWCMC 2019, Tangier, Morocco, June 24-28, 2019, pp. 1451–1457, 2019 DOI
  • C41
    Accuracy and Localization-Aware Rescheduling for Flexible Flow Shops in Industry 4.0
    B. Brik, B. Bettayeb, M. Sahnoun, and A. Louis
    in 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019, Paris, France, April 23-26, 2019, pp. 1929–1934, 2019 DOI
  • C42
    PUBLISH: A Distributed Service Advertising Scheme for Vehicular Cloud Networks
    B. Brik, J. A. Khan, Y. Ghamri-Doudane, and N. Lagraa
    in 16th IEEE Annual Consumer Communications & Networking Conference, CCNC 2019, Las Vegas, NV, USA, January 11-14, 2019, pp. 1–6, 2019 DOI
  • C43
    ThermCont: A machine Learning enabled Thermal Comfort Control Tool in a real time
    B. Brik, M. Esseghir, L. Merghem-Boulahia, and H. Snoussi
    in 15th International Wireless Communications & Mobile Computing Conference, IWCMC 2019, Tangier, Morocco, June 24-28, 2019, pp. 294–300, 2019 DOI
  • C44
    Towards Predicting System Disruption in Industry 4.0: Machine Learning-Based Approach
    B. Brik, B. Bettayeb, M. Sahnoun, and F. Duval
    in 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 - May 2, 2019, Leuven, Belgium, pp. 667–674, 2019 DOI
  • J64
    Renting Out Cloud Services in Mobile Vehicular Cloud
    B. Brik, N. Lagraa, N. Tamani, A. Lakas, and Y. Ghamri-Doudane
    IEEE Trans. Veh. Technol. 67(10): 9882–9895, 2018 DOI
  • C45
    A Game Based Power Allocation in Cloud Computing Data Centers
    M. A. Benblidia, B. Brik, M. Esseghir, and L. Merghem-Boulahia
    in 14th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2018, Limassol, Cyprus, October 15-17, 2018, pp. 1–7, 2018 DOI
  • C46
    GSS-VC: A game-theoretic approach for service selection in vehicular cloud
    B. Brik, J. A. Khan, Y. Ghamri-Doudane, N. Lagraa, and A. Lakas
    in 15th IEEE Annual Consumer Communications & Networking Conference, CCNC 2018, Las Vegas, NV, USA, January 12-15, 2018, pp. 1–6, 2018 DOI
  • C47
    Indoor Thermal Comfort Collection of People with Physical Disabilities
    B. Brik, M. Esseghir, L. Merghem-Boulahia, and H. Snoussi
    in 2018 International Symposium on Networks, Computers and Communications, ISNCC 2018, Rome, Italy, June 19-21, 2018, pp. 1–6, 2018 DOI
  • C48
    ThingsGame: when sending data rate depends on the data usefulness in IoT networks
    B. Brik, M. Esseghir, L. Merghem-Boulahia, and H. Snoussi
    in 14th International Wireless Communications & Mobile Computing Conference, IWCMC 2018, Limassol, Cyprus, June 25-29, 2018, pp. 886–891, 2018 DOI
  • C49
    Vehicular Cloud Service Provider Selection: A Flexible Approach
    N. Tamani, B. Brik, N. Lagraa, and Y. Ghamri-Doudane
    in 2017 IEEE Global Communications Conference, GLOBECOM 2017, Singapore, December 4-8, 2017, pp. 1–6, 2017 DOI
  • J65
    DDGP: Distributed Data Gathering Protocol for vehicular networks
    B. Brik, N. Lagraa, A. Lakas, and A. Cheddad
    Veh. Commun. 4: 15–29, 2016 DOI
  • J66
    ECDGP: extended cluster-based data gathering protocol for vehicular networks
    B. Brik, N. Lagraa, A. Lakas, H. Cherroun, and A. Cheddad
    Wirel. Commun. Mob. Comput. 16(10): 1238–1255, 2016 DOI
  • C50
    Finding the most adequate public bus in Vehicular Clouds
    B. Brik, N. Lagraa, Y. Ghamri-Doudane, and A. Lakas
    in 2016 International Conference on Wireless Networks and Mobile Communications, WINCOM 2016, Fez, Morocco, October 26-29, 2016, pp. 67–74, 2016 DOI
  • C51
    Finding a Public Bus to Rent out Services in Vehicular Clouds
    B. Brik, N. Lagraa, A. Lakas, and Y. Ghamri-Doudane
    in IEEE 82nd Vehicular Technology Conference, VTC Fall 2015, Boston, MA, USA, September 6-9, 2015, pp. 1–7, 2015 DOI
  • C52
    RCS-VC: renting out and consuming services in vehicular clouds based on LTE-A
    B. Brik, N. Lagraa, A. Lakas, and Y. Ghamri-Doudane
    in 2015 Global Information Infrastructure and Networking Symposium, GIIS 2015, Guadalajara, Mexico, October 28-30, 2015, pp. 1–6, 2015 DOI
  • C53
    Token-based Clustered Data Gathering Protocol(TCDGP) in vehicular networks
    B. Brik, N. Lagraa, H. Cherroun, and A. Lakas
    in 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013, Sardinia, Italy, July 1-5, 2013, pp. 1070–1074, 2013 DOI
  • C54
    An efficient and robust clustered data gathering protocol (CDGP) for vehicular networks
    B. Brik, N. Lagraa, M. B. Yagoubi, and A. Lakas
    in Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications, DIVANet@MSWiM 2012, Paphos, Cyprus, October 21, 2012, pp. 69–74, 2012 DOI
  • B4
    Gestion intelligente des ressources dans un système Smart Grid-Cloud pour une meilleure efficacité énergétique
    M. A. Benblidia, L. Merghem-Boulahia, M. Esseghir, B. Brik
    ISTE Editions
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