Topology control through depth adjustment and transmission power control for UWSN routing protocols. - Mohammed Jouhari; Khalil Ibrahimi; Mohammed Benattou (WINCOM, 2015)

New greedy forwarding strategy for UWSNs geographic routing protocols. - Mohammed Jouhari; Khalil Ibrahimi; Mohammed Benattou; Abdellatif Kobbane (IWCMC, 2016)

Implementation of Bit Error Rate Model of 16-QAM in Aqua-Sim Simulator for Underwater Sensor Networks. - Mohammed Jouhari; Khalil Ibrahimi; Mohammed Benattou (UNet, 2016)

Best association of macro user in two-tier cellular networks. - Imane Rouam; Khalil Ibrahimi; Mohammed Jouhari (WINCOM, 2017)

MAC Protocol-Based Depth Adjustment and Splitting Mechanism for UnderWater Sensor Network (UWSN). - Mohamed Ammar; Khalil Ibrahimi; Mohammed Jouhari; Jalel Ben-Othman (GLOBECOM, 2018)

Underwater Wireless Sensor Networks: A Survey on Enabling Technologies, Localization Protocols, and Internet of Underwater Things. - Mohammed Jouhari; Khalil Ibrahimi; Hamidou Tembine; Jalel Ben-Othman (IEEE Access, 2019)

Signaling game approach to improve the MAC protocol in the underwater wireless sensor networks. - Mohammed Jouhari; Khalil Ibrahimi; Hamidou Tembine; Mohammed Benattou; Jalel Ben-Othman (Int. J. Commun. Syst., 2019)

Decentralized Autonomous Underwater Vehicles Distribution for IPv6-UWSN: A Study With Heuristic Methods. - Hamza Zradgui; Mohammed Jouhari; Khalil Ibrahimi (CommNet, 2021)

Securing IoT Transactions Against Double-Spending Attacks based on Signaling Game Approach. - Hafsa Benaddi; Mohammed Jouhari; Khalil Ibrahimi; Abderrahim Benslimane (GLOBECOM, 2021)

Adversarial Attacks Against IoT Networks using Conditional GAN based Learning. - Hafsa Benaddi; Mohammed Jouhari; Khalil Ibrahimi; Abderrahim Benslimane; El Mehdi Amhoud (GLOBECOM, 2022)

Analysis of Blockchain Selfish Mining: a Stochastic Game Approach. - Boutaina Jebari; Khalil Ibrahimi; Mohammed Jouhari; Mounir Ghogho (ICC, 2022)

Spreading Factor and RSSI for Localization in LoRa Networks: A Deep Reinforcement Learning Approach. - Yaya Etiabi; Mohammed Jouhari; El Mehdi Amhoud (CoRR, 2022)

Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization. - Mohammed Jouhari; Abdulla Khalid Al-Ali; Emna Baccour; Amr Mohamed 001; Aiman Erbad; Mohsen Guizani; Mounir Hamdi (IEEE Internet Things J., 2022)

Anomaly Detection in Industrial IoT Using Distributional Reinforcement Learning and Generative Adversarial Networks. - Hafsa Benaddi; Mohammed Jouhari; Khalil Ibrahimi; Jalel Ben-Othman; El Mehdi Amhoud (Sensors, 2022)

Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game. - Hafsa Benaddi; Khalil Ibrahimi; Abderrahim Benslimane; Mohammed Jouhari; Junaid Qadir 001 (IEEE Trans. Veh. Technol., 2022)

Conditional Generative Adversarial Networks for Rx-to-Tx Translation in Wireless Communication Systems. - El Mehdi Amhoud; Mohammed Jouhari; Taras Maksymyuk; Kawtar Zerhouni; Khalil Ibrahimi (GLOBECOM, 2023)

Improvement of Anomaly Detection System in the IoT Networks using CNN-LSTM Approach. - Hafsa Benaddi; Mohammed Jouhari; Khalil Ibrahimi; Abderrahim Benslimane; El Mehdi Amhoud (GLOBECOM, 2023)

Deep Reinforcement Learning-Based Energy Efficiency Optimization for Flying LoRa Gateways. - Mohammed Jouhari; Khalil Ibrahimi; Jalel Ben-Othman; El Mehdi Amhoud (ICC, 2023)

Spreading Factor assisted LoRa Localization with Deep Reinforcement Learning. - Yaya Etiabi; Mohammed Jouhari; Andreas Burg 001; El Mehdi Amhoud (VTC2023-Spring, 2023)

A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges. - Mohammed Jouhari; Nasir Saeed; Mohamed-Slim Alouini; El Mehdi Amhoud (IEEE Commun. Surv. Tutorials, 2023)

HC-HackerRank: Identifying Key Hackers in Cybercrime Social Network Forums. - Abdoul Nasser Hassane Amadou; Anas Motii; Mohammed Jouhari (CommNet, 2024)

Reinforcement Learning for Optimized Resource Allocation in 5G URLLC. - Khalil Ibrahimi; Mohammed Jouhari; Salif Sow; Fouad Ayoub; Mohamed El-Kamili; Khalid Chougdali (CommNet, 2024)

Deep Learning-Based Traffic Banner Recognition for Enhanced Road Safety in Autonomous Vehicles. - Iness Hassani Idrissi; Mohammed Jouhari; Hafsa Benaddi; Anas Motii; Khalil Ibrahimi (CommNet, 2024)

Lightweight CNN-BiLSTM based Intrusion Detection Systems for Resource-Constrained IoT Devices. - Mohammed Jouhari; Mohsen Guizani (IWCMC, 2024)

Enhancing Intrusion Detection Systems Using Machine Learning Classifiers on the CSE-CIC-IDS2018 Dataset. - Khalil Ibrahimi; Mohammed Jouhari; Zineb Jakout (WINCOM, 2024)

Efficient Intrusion Detection: Combining X2 Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset. - Mohammed Jouhari; Hafsa Benaddi; Khalil Ibrahimi (WINCOM, 2024)

A Survey on Hybrid-CNN and LLMs for Intrusion Detection Systems: Recent IoT Datasets. - Saida Elouardi; Anas Motii; Mohammed Jouhari; Abdoul Nasser Hassane Amadou; Mustapha Hedabou (IEEE Access, 2024)

Efficient Intrusion Detection: Combining χ2 Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset. - Mohammed Jouhari; Hafsa Benaddi; Khalil Ibrahimi (CoRR, 2024)

A lightweight hybrid approach for intrusion detection systems using a chi-square feature selection approach in IoT. - Hafsa Benaddi; Mohammed Jouhari; Omar Elharrouss (Internet Things, 2025)