A Lightweight Hybrid Intrusion Detection Framework using Machine Learning for Edge-Based IIoT Security. - Azidine Guezzaz; Mourade Azrour; Said Benkirane; Mouaad Mohy-Eddine; Hanaa Attou; Maryam Douiba (Int. Arab J. Inf. Technol., 2022)

Random forest-based IDS for IIoT edge computing security using ensemble learning for dimensionality reduction. - Mouaad Mohy-Eddine; Said Benkirane; Azidine Guezzaz; Mourade Azrour (Int. J. Embed. Syst., 2022)

An efficient network intrusion detection model for IoT security using K-NN classifier and feature selection. - Mouaad Mohy-Eddine; Azidine Guezzaz; Said Benkirane; Mourade Azrour (Multim. Tools Appl., 2023)

An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security. - Mouaad Mohy-Eddine; Azidine Guezzaz; Said Benkirane; Mourade Azrour; Yousef Farhaoui (Big Data Min. Anal., 2023)

An effective intrusion detection approach based on ensemble learning for IIoT edge computing. - Mouaad Mohy-Eddine; Azidine Guezzaz; Said Benkirane; Mourade Azrour (J. Comput. Virol. Hacking Tech., 2023)

Malicious detection model with artificial neural network in IoT-based smart farming security. - Mouaad Mohy-Eddine; Azidine Guezzaz; Said Benkirane; Mourade Azrour (Clust. Comput., 2024)