An efficient and robust clustered data gathering protocol (CDGP) for vehicular networks. - Bouziane Brik; Nasreddine Lagraa; Mohamed Bachir Yagoubi; Abderrahmane Lakas (DIVANet@MSWiM, 2012)

Token-based Clustered Data Gathering Protocol(TCDGP) in vehicular networks. - Bouziane Brik; Nasreddine Lagraa; Hadda Cherroun; Abderrahmane Lakas (IWCMC, 2013)

RCS-VC: renting out and consuming services in vehicular clouds based on LTE-A. - Bouziane Brik; Nasreddine Lagraa; Abderrahmane Lakas; Yacine Ghamri-Doudane (GIIS, 2015)

Finding a Public Bus to Rent out Services in Vehicular Clouds. - Bouziane Brik; Nasreddine Lagraa; Abderrahmane Lakas; Yacine Ghamri-Doudane (VTC Fall, 2015)

Finding the most adequate public bus in Vehicular Clouds. - Bouziane Brik; Nasreddine Lagraa; Yacine Ghamri-Doudane; Abderrahmane Lakas (WINCOM, 2016)

DDGP: Distributed Data Gathering Protocol for vehicular networks. - Bouziane Brik; Nasreddine Lagraa; Abderrahmane Lakas; Abbas Cheddad (Veh. Commun., 2016)

ECDGP: extended cluster-based data gathering protocol for vehicular networks. - Bouziane Brik; Nasreddine Lagraa; Abderrahmane Lakas; Hadda Cherroun; Abbas Cheddad (Wirel. Commun. Mob. Comput., 2016)

Vehicular Cloud Service Provider Selection: A Flexible Approach. - Nouredine Tamani; Bouziane Brik; Nasreddine Lagraa; Yacine Ghamri-Doudane (GLOBECOM, 2017)

GSS-VC: A game-theoretic approach for service selection in vehicular cloud. - Bouziane Brik; Junaid Ahmed Khan; Yacine Ghamri-Doudane; Nasreddine Lagraa; Abderrahmane Lakas (CCNC, 2018)

Indoor Thermal Comfort Collection of People with Physical Disabilities. - Bouziane Brik; Moez Esseghir; Leïla Merghem-Boulahia; Hichem Snoussi (ISNCC, 2018)

ThingsGame: when sending data rate depends on the data usefulness in IoT networks. - Bouziane Brik; Moez Esseghir; Leïla Merghem-Boulahia; Hichem Snoussi (IWCMC, 2018)

A Game Based Power Allocation in Cloud Computing Data Centers. - Mohammed Anis Benblidia; Bouziane Brik; Moez Esseghir; Leïla Merghem-Boulahia (WiMob, 2018)

Renting Out Cloud Services in Mobile Vehicular Cloud. - Bouziane Brik; Nasreddine Lagraa; Nouredine Tamani; Abderrahmane Lakas; Yacine Ghamri-Doudane (IEEE Trans. Veh. Technol., 2018)

Towards Predicting System Disruption in Industry 4.0: Machine Learning-Based Approach. - Bouziane Brik; Belgacem Bettayeb; M'hammed Sahnoun; Fabrice Duval (ANT/EDI40, 2019)

PUBLISH: A Distributed Service Advertising Scheme for Vehicular Cloud Networks. - Bouziane Brik; Junaid Ahmed Khan; Yacine Ghamri-Doudane; Nasreddine Lagraa (CCNC, 2019)

Accuracy and Localization-Aware Rescheduling for Flexible Flow Shops in Industry 4.0. - Bouziane Brik; Belgacem Bettayeb; M'hammed Sahnoun; Anne Louis (CoDIT, 2019)

Power Dispatching in Cloud Data Centers Using Smart Microgrids: A Game Theory Approach. - Mohammed Anis Benblidia; Bouziane Brik; Moez Esseghir; Leïla Merghem-Boulahia (GLOBECOM, 2019)

Ranking Fog nodes for Tasks Scheduling in Fog-Cloud Environments: A Fuzzy Logic Approach. - Mohammed Anis Benblidia; Bouziane Brik; Leïla Merghem-Boulahia; Moez Esseghir (IWCMC, 2019)

ThermCont: A machine Learning enabled Thermal Comfort Control Tool in a real time. - Bouziane Brik; Moez Esseghir; Leïla Merghem-Boulahia; Hichem Snoussi (IWCMC, 2019)

Wireless communication in internet of vehicles networks: DSRC-based Vs cellular-based. - Nadjet Azzaoui; Ahmed Korichi; Bouziane Brik; Med el amine Fekair; Chaker Abdelaziz Kerrache (SCA, 2019)

Service-Oriented MEC Applications Placement in a Federated Edge Cloud Architecture. - Bouziane Brik; Pantelis A. Frangoudis; Adlen Ksentini (ICC, 2020)

On Predicting Service-oriented Network Slices Performances in 5G: A Federated Learning Approach. - Bouziane Brik; Adlen Ksentini (LCN, 2020)

AutoMEC: LSTM-based User Mobility Prediction for Service Management in Distributed MEC Resources. - Umberto Fattore; Marco Liebsch; Bouziane Brik; Adlen Ksentini (MSWiM, 2020)

Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems. - Bouziane Brik; Adlen Ksentini; Maha Bouaziz (IEEE Access, 2020)

An Edge-Based Social Distancing Detection Service to Mitigate COVID-19 Propagation. - Adlen Ksentini; Bouziane Brik (IEEE Internet Things Mag., 2020)

On Link Stability Metric and Fuzzy Quantification for Service Selection in Mobile Vehicular Cloud. - Nouredine Tamani; Bouziane Brik; Nasreddine Lagraa; Yacine Ghamri-Doudane (IEEE Trans. Intell. Transp. Syst., 2020)

A Trust architecture for the SLA management in 5G networks. - Sabra Ben Saad; Adlen Ksentini; Bouziane Brik (ICC, 2021)

A renewable energy-aware power allocation for cloud data centers: A game theory approach. - Mohammed Anis Benblidia; Bouziane Brik; Moez Esseghir; Leïla Merghem-Boulahia (Comput. Commun., 2021)

Toward the Integration of UAVs' Services into the Cloud. - Sarra Djeradi; Tahar Bendouma; Nasreddine Lagraa; Chaker Abdelaziz Kerrache; Abderrahmane Lakas; Bouziane Brik (IEEE Commun. Stand. Mag., 2021)

On using reinforcement learning for network slice admission control in 5G: Offline vs. online. - Sihem Bakri; Bouziane Brik; Adlen Ksentini (Int. J. Commun. Syst., 2021)

Toward Optimal MEC Resource Dimensioning for a Vehicle Collision Avoidance System: A Deep Learning Approach. - Bouziane Brik; Adlen Ksentini (IEEE Netw., 2021)

DRIVE-B5G: A Flexible and Scalable Platform Testbed for B5G-V2X Networks. - Taki Eddine Toufik Djaidja; Bouziane Brik; Abdelwahab Boualouache; Sidi Mohammed Senouci; Yacine Ghamri-Doudane (GLOBECOM, 2022)

A Trust and Explainable Federated Deep Learning Framework in Zero Touch B5G Networks. - Sabra Ben Saad; Bouziane Brik; Adlen Ksentini (GLOBECOM, 2022)

Edge Computing-enabled Intrusion Detection for C-V2X Networks using Federated Learning. - Aymene Selamnia; Bouziane Brik; Sidi Mohammed Senouci; Abdelwahab Boualouache; Shajjad Hossain (GLOBECOM, 2022)

Adaptive Resource Reservation to Survive Against Adversarial Resource Selection Jamming Attacks in 5G NR-V2X Distributed Mode 2. - Taki Eddine Toufik Djaidja; Bouziane Brik; Sidi Mohammed Senouci; Yacine Ghamri-Doudane (ICC, 2022)

Federated Deep Learning-Based Framework to Avoid Collisions Between Inland Ships. - Wided Hammedi; Bouziane Brik; Sidi Mohammed Senouci (IWCMC, 2022)

Ensemble Learning for Intrusion Detection in SDN-Based Zero Touch Smart Grid Systems. - Zakaria Abou El Houda; Bouziane Brik; Lyes Khoukhi (LCN, 2022)

A Low-Latency Fog-based Framework to secure IoT Applications using Collaborative Federated Learning. - Zakaria Abou El Houda; Lyes Khoukhi; Bouziane Brik (LCN, 2022)

Deep Learning-based Intra-slice Attack Detection for 5G-V2X Sliced Networks. - Abdelwahab Boualouache; Taki Eddine Toufik Djaidja; Sidi-Mohammed Senouci; Yacine Ghamri-Doudane; Bouziane Brik; Thomas Engel 001 (VTC Spring, 2022)

Power Allocation and Energy Cost Minimization in Cloud Data Centers Microgrids: A Two-Stage Optimization Approach. - Mohammed Anis Benblidia; Bouziane Brik; Moez Esseghir; Leïla Merghem-Boulahia (IEEE Access, 2022)

NRflex: Enforcing network slicing in 5G New Radio. - Karim Boutiba; Adlen Ksentini; Bouziane Brik; Yacine Challal; Amar Balla (Comput. Commun., 2022)

A Novel IoT-Based Explainable Deep Learning Framework for Intrusion Detection Systems. - Zakaria Abou El Houda; Bouziane Brik; Sidi-Mohammed Senouci (IEEE Internet Things Mag., 2022)

Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges. - Bouziane Brik; Karim Boutiba; Adlen Ksentini (IEEE Open J. Commun. Soc., 2022)

"Why Should I Trust Your IDS?": An Explainable Deep Learning Framework for Intrusion Detection Systems in Internet of Things Networks. - Zakaria Abou El Houda; Bouziane Brik; Lyes Khoukhi (IEEE Open J. Commun. Soc., 2022)

An end-to-end trusted architecture for network slicing in 5G and beyond networks. - Sabra Ben Saad; Adlen Ksentini; Bouziane Brik (Secur. Priv., 2022)

Fog-supported Low-latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach. - Bouziane Brik; Mourad Messaadia; M'hammed Sahnoun; Belgacem Bettayeb; Mohamed Amin Benatia (ACM Trans. Cyber Phys. Syst., 2022)

GSS-VF: A Game-Theoretic Approach for Service Discovery in Fog Network of Vehicles. - Bouziane Brik; Junaid Ahmed Khan; Yacine Ghamri-Doudane; Nasreddine Lagraa; Abderrahmane Lakas (IEEE Trans. Green Commun. Netw., 2022)

When Federated Learning Meets Game Theory: A Cooperative Framework to Secure IIoT Applications on Edge Computing. - Zakaria Abou El Houda; Bouziane Brik; Adlen Ksentini; Lyes Khoukhi; Mohsen Guizani (IEEE Trans. Ind. Informatics, 2022)

Guest Editorial Introduction to the Special Section on AI-Powered Internet of Everything (IoE) Services in Next-Generation Wireless Networks. - Bouziane Brik; Kapal Dev; Yang Xiao 001; Guangjie Han; Adlen Ksentini (IEEE Trans. Netw. Sci. Eng., 2022)

A Lightweight 5G-V2X Intra-Slice Intrusion Detection System Using Knowledge Distillation. - Shajjad Hossain; Abdelwahab Boualouache; Bouziane Brik; Sidi-Mohammed Senouci (ICC, 2023)

Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks. - Abdelaziz Amara Korba; Abdelwahab Boualouache; Bouziane Brik; Rabah Rahal; Yacine Ghamri-Doudane; Sidi Mohammed Senouci (ICC, 2023)

CROP: Cluster-Based Routing Using Optimized Framework for IoT-Based Precision Agriculture. - Sandeep Verma; Satnam Kaur; Aneek Adhya; Georges Kaddoum; Bouziane Brik (ICC, 2023)

Securing Federated Learning through Blockchain and Explainable AI for Robust Intrusion Detection in IoT Networks. - Zakaria Abou El Houda; Hajar Moudoud; Bouziane Brik; Lyes Khoukhi (INFOCOM Workshops, 2023)

XAI-Enabled Fine Granular Vertical Resources Autoscaler. - Mohamed Mekki; Bouziane Brik; Adlen Ksentini; Christos V. Verikoukis (NetSoft, 2023)

A Survey on Explainable AI for 6G O-RAN: Architecture, Use Cases, Challenges and Research Directions. - Bouziane Brik; Hatim Chergui; Lanfranco Zanzi; Francesco Devoti; Adlen Ksentini; Muhammad Shuaib Siddiqui; Xavier Costa-Pérez; Christos V. Verikoukis (CoRR, 2023)

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions. - Houda Hafi; Bouziane Brik; Pantelis A. Frangoudis; Adlen Ksentini (CoRR, 2023)

When Collaborative Federated Learning Meets Blockchain to Preserve Privacy in Healthcare. - Zakaria Abou El Houda; Abdelhakim Senhaji Hafid; Lyes Khoukhi; Bouziane Brik (IEEE Trans. Netw. Sci. Eng., 2023)

Toward Optimal MEC-Based Collision Avoidance System for Cooperative Inland Vessels: A Federated Deep Learning Approach. - Wided Hammedi; Bouziane Brik; Sidi Mohammed Senouci (IEEE Trans. Intell. Transp. Syst., 2023)

5G Vehicle-to-Everything at the Cross-Borders: Security Challenges and Opportunities. - Abdelwahab Boualouache; Bouziane Brik; Qiang Tang 001; Abdelaziz Amara Korba; Sylvain Cherrier; Sidi-Mohammed Senouci; Enric Pardo; Yacine Ghamri-Doudane; Rami Langar; Thomas Engel 001 (IEEE Internet Things Mag., 2023)

Guest Editorial: Multi-Access Networking for Extended Reality and Metaverse. - Bouziane Brik; Hassnaa Moustafa; Yan Zhang 004; Abderrahmane Lakas; Sriram Subramanian (IEEE Internet Things Mag., 2023)

A MEC-Based Architecture to Secure IoT Applications using Federated Deep Learning. - Zakaria Abou El Houda; Bouziane Brik; Adlen Ksentini; Lyes Khoukhi (IEEE Internet Things Mag., 2023)

On-Demand Security Framework for 5GB Vehicular Networks. - Abdelwahab Boualouache; Bouziane Brik; Sidi-Mohammed Senouci; Thomas Engel 001 (IEEE Internet Things Mag., 2023)

Toward Securing Federated Learning Against Poisoning Attacks in Zero Touch B5G Networks. - Sabra Ben Saad; Bouziane Brik; Adlen Ksentini (IEEE Trans. Netw. Serv. Manag., 2023)

A survey on data dissemination in internet of vehicles networks. - Nadjet Azzaoui; Ahmed Korichi; Bouziane Brik; Hanane Amirat (J. Locat. Based Serv., 2023)

Next-power: Next-generation framework for secure and sustainable energy trading in the metaverse. - Zakaria Abou El Houda; Bouziane Brik (Ad Hoc Networks, 2023)

Machine Learning-Based Big Data Analytics in Smart Cities: A Survey of Current Trends and Future Research Directions. - Mariam Hassan AlThabahi; Mian Ahmad Jan; Bouziane Brik; Sebti Foufou (BDCAT, 2024)

Integrating Blockchain Technology with PKI for Secure and Interoperable Communication in 5G and Beyond Vehicular Networks. - Fetulhak Abdurahman Shewajo; Abdelwahab Boualouache; Sidi Mohammed Senouci; Inès El Korbi; Bouziane Brik; Kinde Anlay Fante (CCNC, 2024)

Securing the Metaverse: The Intersection of ML-Based Oracles and Blockchain Technology. - Hajar Moudoud; Zakaria Abou El Houda; Bouziane Brik (iMETA, 2024)

Reputation-Aware Scheduling for Secure Internet of Drones: A Federated Multi-Agent Deep Reinforcement Learning Approach. - Hajar Moudoud; Zakaria Abou El Houda; Bouziane Brik (INFOCOM (Workshops), 2024)

Leveraging Transfer Learning with Federated DRL for Autonomous Vehicles Platooning. - Mohamed El Amine Ameur; Habiba Drias; Bouziane Brik; Mazene Ameur (IWCMC, 2024)

Impact of Neural Network Depth on Split Federated Learning Performance in Low-Resource UAV Networks. - Houda Hafi; Bouziane Brik; Miloud Bagaa; Adlen Ksentini (IWCMC, 2024)

Deep Learning-Driven Resource Allocation for MEC-Enabled UAV Collision Avoidance System. - Khadidja Zairi; Bouziane Brik; Younes Guellouma; Hadda Cherroun (IWCMC, 2024)

Leveraging LLMs to eXplain DRL Decisions for Transparent 6G Network Slicing. - Mazene Ameur; Bouziane Brik; Adlen Ksentini (NetSoft, 2024)

On the Performance Evaluation of Mobility Model-Based GPSR Routing Protocol in Flying Ad hoc Networks. - Mohamed Ben Bezziane; Yesin Sahraoui; Bouziane Brik; Lina Mekkas; Sara Bougeurra; Anouar Khaldi (PAIS, 2024)

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions. - Houda Hafi; Bouziane Brik; Pantelis A. Frangoudis; Adlen Ksentini; Miloud Bagaa (IEEE Access, 2024)

Time-efficient detection of false position attack in 5G and beyond vehicular networks. - Taki Eddine Toufik Djaidja; Bouziane Brik; Abdelwahab Boualouache; Sidi Mohammed Senouci; Yacine Ghamri-Doudane (Comput. Networks, 2024)

Securing IIoT applications in 6G and beyond using adaptive ensemble learning and zero-touch multi-resource provisioning. - Zakaria Abou El Houda; Bouziane Brik; Adlen Ksentini (Comput. Commun., 2024)

Federated learning for 5G and beyond, a blessing and a curse- an experimental study on intrusion detection systems. - Taki Eddine Toufik Djaidja; Bouziane Brik; Abdelwahab Boualouache; Sidi Mohammed Senouci; Yacine Ghamri-Doudane (Comput. Secur., 2024)

A Scalable Federated Modular Neural Network Architecture for Edge-Enabled Beyond-5G Complex Systems. - Amina Djoudi; Younes Guellouma; Hadda Cherroun; Bouziane Brik (IT Prof., 2024)

Guest Editorial: Special Issue on Resource-Efficient Collaborative Deep Learning Over B5G/6G Networks. - Bouziane Brik; Mehdi Bennis; Xianbin Wang 001; Mohsen Guizani (IEEE Open J. Commun. Soc., 2024)

Early Network Intrusion Detection Enabled by Attention Mechanisms and RNNs. - Taki Eddine Toufik Djaidja; Bouziane Brik; Sidi Mohammed Senouci; Abdelwahab Boualouache; Yacine Ghamri-Doudane (IEEE Trans. Inf. Forensics Secur., 2024)

On Adjusting Data Throughput in IoT Networks: A Deep-Reinforcement-Learning-Based Game Approach. - Bouziane Brik; Moez Esseghir; Leïla Merghem-Boulahia (IEEE Internet Things J., 2024)

A decentralized blockchain-based authentication scheme for cross-communication in IoT networks. - Chaira Mahmoud; Sofiane Aouag; Hadda Cherroun; Bouziane Brik; Abdelmounaam Rezgui (Clust. Comput., 2024)

Blockchain-Enabled Federated Learning for Enhanced Collaborative Intrusion Detection in Vehicular Edge Computing. - Zakaria Abou El Houda; Hajar Moudoud; Bouziane Brik; Lyes Khoukhi (IEEE Trans. Intell. Transp. Syst., 2024)

Federated Deep Reinforcement Learning for Efficient Jamming Attack Mitigation in O-RAN. - Zakaria Abou El Houda; Hajar Moudoud; Bouziane Brik (IEEE Trans. Veh. Technol., 2024)

A Privacy-Preserving Framework for Efficient Network Intrusion Detection in Consumer Network Using Quantum Federated Learning. - Zakaria Abou El Houda; Hajar Moudoud; Bouziane Brik; Muhammad Adil 002 (IEEE Trans. Consumer Electron., 2024)

Advancing Security and Trust in WSNs: A Federated Multi-Agent Deep Reinforcement Learning Approach. - Hajar Moudoud; Zakaria Abou El Houda; Bouziane Brik (IEEE Trans. Consumer Electron., 2024)

Cooperative parking search strategy through V2X communications: an agent-based decision. - Mohamed E. L. Amine Ameur; Habiba Drias; Bouziane Brik (Wirel. Networks, 2024)

Zero Trust Security Architecture for 6G Open Radio Access Networks (ORAN). - Hajar Moudoud; Zakaria Abou El Houda; Bouziane Brik (IEEE Netw. Lett., 2024)

Vehicular Edge Computing: An Enhanced Vehicle Participant Selection System for Federated Learning. - Sofiane Dahmane; Abdelmadjid Benarfa; Bouziane Brik; Zakaria Abou El Houda (IWCMC, 2025)

A Blockchain-Enabled Multi-Layered Zero-Trust Security Framework for O-RAN. - Ali Mehrban; Zakaria Abou El Houda; Hajar Moudoud; Bouziane Brik; Lyes Khoukhi (IWCMC, 2025)

Securing O-RAN Equipment Using Blockchain-Based Supply Chain Verification. - Ali Mehrban; Zakaria Abou El Houda; Hajar Moudoud; Bouziane Brik; Lyes Khoukhi (IWCMC, 2025)

Deep Learning Empowered Service Selection in FANETs: A 5G-Enabled UAV-Cloud Architecture. - Mohamed Ben Bezziane; Messaoud Abbas; Hessa Alfraihi; Bouziane Brik; Yacine Khaldi; Oussama Aiadi; Siham Hasan (IEEE Access, 2025)

A privacy-preserving Self-Supervised Learning-based intrusion detection system for 5G-V2X networks. - Shajjad Hossain; Sidi-Mohammed Senouci; Bouziane Brik; Abdelwahab Boualouache (Ad Hoc Networks, 2025)

An In-Depth Comparative Study of Quantum-Classical Encoding Methods for Network Intrusion Detection. - Adam Kadi; Aymene Selamnia; Zakaria Abou El Houda; Hajar Moudoud; Bouziane Brik; Lyes Khoukhi (IEEE Open J. Commun. Soc., 2025)

On Combining XAI and LLMs for Trustworthy Zero-Touch Network and Service Management in 6G. - Abdelkader Mekrache; Mohamed Mekki; Adlen Ksentini; Bouziane Brik; Christos V. Verikoukis (IEEE Commun. Mag., 2025)

When Federated Learning Meets Knowledge Distillation to Secure Consumer Edge Network. - Zakaria Abou El Houda; Hajar Moudoud; Bouziane Brik (IEEE Trans. Consumer Electron., 2025)

A Blockchain-Based Cross-Domain DDoS Mitigation in Consumer Networks. - Hajar Moudoud; Zakaria Abou El Houda; Bouziane Brik (IEEE Trans. Consumer Electron., 2025)

Advancing Robustness and Privacy in Federated Learning for Secure Autonomous Vehicle Systems. - Hajar Moudoud; Zakaria Abou El Houda; Bouziane Brik; Mian Ahmad Jan; Bandar Alshawi (IEEE Trans. Consumer Electron., 2025)

A Survey on Deep Reinforcement Learning Applications in Autonomous Systems: Applications, Open Challenges, and Future Directions. - Shruti Govinda; Bouziane Brik; Saad Harous (IEEE Trans. Intell. Transp. Syst., 2025)

Making Sense of Big Data in Intelligent Transportation Systems: Current Trends, Challenges and Future Directions. - Mian Ahmad Jan; Muhammad Adil 002; Bouziane Brik; Saad Harous; Sohail Abbas (ACM Comput. Surv., 2025)