Increasing end-to-end fairness over IEEE 802.11e-based wireless mesh networks. - Abdelhafid Abouaissa; Mohamed-el-Amine Brahmia; Pascal Lorenz (Int. J. Commun. Syst., 2013)

Adaptive scheduling mechanism for IPTV over WiMAX IEEE 802.16j networks. - Mohamed-el-Amine Brahmia; Abdelhafid Abouaissa; Pascal Lorenz (Int. J. Commun. Syst., 2014)

An Efficient Study of Scheduling Algorithms with Friedman Test in WiMAX Networks. - Mohamed-el-Amine Brahmia; Abdusy Syarif; Abdelhafid Abouaissa; Lhassane Idoumghar; Pascal Lorenz (Netw. Protoc. Algorithms, 2014)

A combined path selection and admission control scheme for IPTV in IEEE 802.16j MMR networks. - Mohamed-el-Amine Brahmia; Abdusy Syarif; Abdelhafid Abouaissa; Pascal Lorenz (ICC, 2015)

Performance Analysis of RPL Protocols in LLN Network Using Friedman's Test. - Novi Azman; Abdusy Syarif; Mohamed-el-Amine Brahmia; Jean-François Dollinger; Samir Ouchani; Lhassane Idoumghar (IoTSMS, 2020)

A Overview on WSN Deployment and a Novel Conceptual BIM-based Approach in Smart Buildings. - Khaoula Zaimen; Mohamed-el-Amine Brahmia; Jean-François Dollinger; Laurent Moalic; Abdelhafid Abouaissa; Lhassane Idoumghar (IoTSMS, 2020)

A BIM-based framework for an Optimal WSN Deployment in Smart Building. - Walid Miloud Dahmane; Mohamed-el-Amine Brahmia; Jean-François Dollinger; Samir Ouchani (NOF, 2020)

Modeling the Greedy Behavior Attack and Analyzing its Impact on IoT Networks. - Fatima Salma Sadek; Khaled Belkadi; Abdelhafid Abouaissa; Samir Ouchani; Mohamed-el-Amine Brahmia; Pascal Lorenz (EUSPN/ICTH, 2021)

RPL-OC: Extension of RPL Protocol for LLN Networks Based on the Operator Calculus Approach. - Abdusy Syarif; Mohamed-el-Amine Brahmia; Jean-François Dollinger; Abdelhafid Abouaissa; Lhassane Idoumghar (ICICT (1), 2021)

Coverage Maximization in WSN Deployment Using Particle Swarm Optimization with Voronoi Diagram. - Khaoula Zaimen; Mohamed-el-Amine Brahmia; Jean-François Dollinger; Laurent Moalic; Abdelhafid Abouaissa; Lhassane Idoumghar (MEDI Workshops, 2021)

A Stochastic Approach for Extracting Community-Based Backbones. - Zakariya Ghalmane; Mohamed-el-Amine Brahmia; Mourad Zghal; Hocine Cherifi (COMPLEX NETWORKS (2), 2022)

A review of IoT architectures in smart healthcare applications. - Meriem Arbaoui; Mohamed-el-Amine Brahmia; Abdellatif Rahmoun (FMEC, 2022)

APBFT: An Adaptive PBFT Consensus for Private Blockchains. - Kenza Riahi; Mohamed-el-Amine Brahmia; Abdelhafid Abouaissa; Lhassane Idoumghar (GLOBECOM, 2022)

FPBFT: A Fast PBFT Protocol for Private Blockchains. - Kenza Riahi; Mohamed-el-Amine Brahmia; Abdelhafid Abouaissa; Lhassane Idoumghar (IOTSMS, 2022)

Towards secure and reliable aggregation for Federated Learning protocols in healthcare applications. - Meriem Arbaoui; Mohamed-el-Amine Brahmia; Abdellatif Rahmoun (SDS, 2022)

An Adaptive Attack Prediction Framework in Cyber-Physical Systems. - Mohamed-el-Amine Brahmia; Sami Babouche; Samir Ouchani; Mourad Zghal (SDS, 2022)

A Reinforcement Learning-Based Node Selection for PBFT Consensus. - Kenza Riahi; Mohamed-el-Amine Brahmia; Abdelhafid Abouaissa; Lhassane Idoumghar (SDS, 2022)

A Survey of Artificial Intelligence Based WSNs Deployment Techniques and Related Objectives Modeling. - Khaoula Zaimen; Mohamed-el-Amine Brahmia; Laurent Moalic; Abdelhafid Abouaissa; Lhassane Idoumghar (IEEE Access, 2022)

A Comparative Study of Meta-Heuristic Algorithms for WSN Deployment Problem in Indoor Environments. - Khaoula Zaimen; Mohamed-el-Amine Brahmia; Laurent Moalic; Abdelhafid Abouaissa; Lhassane Idoumghar (CEC, 2023)

Intrusion Detection System for IoT Based on Complex Networks and Machine Learning. - Mortada Termos; Zakariya Ghalmane; Mohamed-el-Amine Brahmia; Ahmad Fadlallah; Ali Jaber; Mourad Zghal (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Connectivity Repair Heuristics for Stationary Wireless Sensor Networks. - Khaoula Zaimen; Laurent Moalic; Mohamed-el-Amine Brahmia; Abdelhafid Abouaissa; Lhassane Idoumghar (ICC, 2023)

A Comparative Study of Blockchain Development Platforms. - Kenza Riahi; Mohamed-el-Amine Brahmia; Abdelhafid Abouaissa; Lhassane Idoumghar (ICCIP, 2023)

A Hybrid Aggregation Approach for Federated Learning to Improve Energy Consumption in Smart Buildings. - Aline Abboud; Mohamed-el-Amine Brahmia; Abdelhafid Abouaissa; Ahmad Shahin; Rocks Mazraani (IWCMC, 2023)

Empowering Energy Consumption Forecasting in Smart Buildings: Towards a Hybrid Loss Function. - Aline Abboud; Mohamed-el-Amine Brahmia; Abdelhafid Abouaissa; Ahmad Shahin; Rocks Mazraani (IWCMC, 2024)

Optimizing Shapley Value for Client Valuation in Federated Learning through Enhanced GTG-Shapley. - Meriem Arbaoui; Mohamed-el-Amine Brahmia; Abdellatif Rahmoun; Mourad Zghal (IWCMC, 2024)

Hyperparameter Impact on Computational Efficiency in Federated Edge Learning. - Ahmed Rafik El-Mehdi Baahmed; Jean-François Dollinger; Mohamed-el-Amine Brahmia; Mourad Zghal (IWCMC, 2024)

FedLbs: Federated Learning Loss-Based Swapping Approach for Energy Building's Load Forecasting. - Bouchra Fakher; Mohamed-el-Amine Brahmia; Mustafa Al Samara; Ismail Bennis; Abdelhafid Abouaissa (IWCMC, 2024)

A Hybrid Binary Grey Wolf Optimiser for WSN Deployment in Indoor Environments Based on BIM Database. - Khaoula Zaimen; Laurent Moalic; Mohamed-el-Amine Brahmia; Abdelhafid Abouaissa; Lhassane Idoumghar (WCNC, 2024)

GDLC: A new Graph Deep Learning framework based on centrality measures for intrusion detection in IoT networks. - Mortada Termos; Zakariya Ghalmane; Mohamed-el-Amine Brahmia; Ahmad Fadlallah; Ali Jaber; Mourad Zghal (Internet Things, 2024)

An intelligent mechanism for energy consumption scheduling in smart buildings. - Hassan Harb; Mohamad Hijazi; Mohamed-el-Amine Brahmia; Ali Kadhum Idrees; Mouhammad Alakkoumi; Ali Jaber; Abdelhafid Abouaissa (Clust. Comput., 2024)

Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers. - Meriem Arbaoui; Mohamed-el-Amine Brahmia; Abdellatif Rahmoun; Mourad Zghal (ACM Trans. Intell. Syst. Technol., 2024)

Optimized Scheduling for Electric Vehicle Charging: A Multi-Objective Approach to Grid Stability and User Satisfaction. - Aimen Khiar; Mohamed-el-Amine Brahmia; Ammar Oulamara; Lhassane Idoumghar (ICORES, 2025)

Enhancing IoT Network Intrusion Detection with a New GraphSAGE Embedding Algorithm Using Centrality Measures. - Mortada Termos; Zakariya Ghalmane; Mohamed-el-Amine Brahmia; Ahmad Fadlallah; Ali Jaber; Mourad Zghal (IoTBDS, 2025)

Generating Realistic Cyber Security Datasets for IoT Networks with Diverse Complex Network Properties. - Fouad Al Tfaily; Zakariya Ghalmane; Mortada Termos; Mohamed-el-Amine Brahmia; Ali Jaber; Mourad Zghal (IoTBDS, 2025)

FedCSA: A Novel Federated Learning Client Selection with Anomaly Detection Approach for IoT Systems. - Bouchra Fakher; Mohamed-el-Amine Brahmia; Ismail Bennis; Abdelhafid Abouaissa (WCNC, 2025)

Integrating Centrality Measures in Federated Learning-Based Intrusion Detection Systems. - Mortada Termos; Zakariya Ghalmane; Mohamed-el-Amine Brahmia; Ahmad Fadlallah; Ali Jaber; Mourad Zghal (WCNC, 2025)

Combining client-based anomaly detection and federated learning for energy forecasting in smart buildings. - Bouchra Fakher; Mohamed-el-Amine Brahmia; Ismail Bennis; Abdelhafid Abouaissa (Clust. Comput., 2025)