Multi-factor authentication based on multimodal biometrics (MFA-MB) for Cloud Computing. - Abdeljebar Mansour; Mohamed Sadik; Essaid Sabir (AICCSA, 2015)

A context-aware Multimodal Biometric Authentication for cloud-empowered systems. - Abdeljebar Mansour; Mohamed Sadik; Essaid Sabir; Mohamed Azmi (WINCOM, 2016)

PPSA: Profiling and Preventing Security Attacks in Cloud Computing. - Nahid Eddermoug; Mohamed Sadik; Essaid Sabir; Abdeljebar Mansour; Mohamed Azmi (IWCMC, 2019)

Klm-PPSA: Klm-based profiling and preventing security attacks for cloud environments: Invited Paper. - Nahid Eddermoug; Abdeljebar Mansour; Mohamed Sadik; Essaid Sabir; Mohamed Azmi (WINCOM, 2019)

AMBAS: an autonomous multimodal biometric authentication system. - Abdeljebar Mansour; Mohamed Sadik; Essaid Sabir; Mostafa Jebbar (Int. J. Auton. Adapt. Commun. Syst., 2019)

Klm-based Profiling and Preventing Security Attacks for Cloud Computing: A Comparative Study. - Nahid Eddermoug; Abdeljebar Mansour; Mohamed Sadik; Essaid Sabir; Mohamed Azmi (ICT, 2021)

Toward an exhaustive review on Machine Learning for Cybersecurity. - Hanane Bahassi; Nahid Eddermoug; Abdeljebar Mansour; Mohamed Azmi (FNC/MobiSPC/SEIT, 2022)

klm-PPSA Dataset V 1.0. - Nahid Eddermoug; Abdeljebar Mansour; Mohamed Sadik; Essaid Sabir; Mohamed Azmi (IEEE DataPort, 2022)

A Literature Review on Attacks Prevention and Profiling in Cloud Computing. - Nahid Eddermoug; Abdeljebar Mansour; Mohamed Azmi; Mohamed Sadik; Essaid Sabir; Hanane Bahassi (ANT/EDI40, 2023)

AI and Computer Vision-based Real-time Quality Control: A Review of Industrial Applications. - Abdelfatah Ettalibi; Abdelmajid Elouadi; Abdeljebar Mansour (EUSPN/ICTH, 2023)

A Lightweight Seamless Unimodal Biometric Authentication System. - Abdeljebar Mansour; Nahid Eddermoug; Mohamed Sadik; Essaid Sabir; Mohamed Azmi; Mostafa Jebbar (EUSPN/ICTH, 2023)

klm-PPSA v. 1.1: machine learning-augmented profiling and preventing security attacks in cloud environments. - Nahid Eddermoug; Abdeljebar Mansour; Mohamed Sadik; Essaid Sabir; Mohamed Azmi (Ann. des Télécommunications, 2023)

Advances in Predicting Immunotherapy Response for Glioblastoma Using Neural Networks, Machine Learning and Genetic/Omics Data: A Comparative Study. - Zaynab El Moudden; Nahid Eddermoug; Khadija El Azhary; Abdallah Badou; Abdeljebar Mansour; Mostafa Jebbar (ANT/EDI40, 2025)