An intelligent cyber security phishing detection system using deep learning techniques. - Ala Mughaid; Shadi AlZu'bi; Adnan Hnaif; Salah Taamneh; Asma Alnajjar; Esraa Abu Elsoud (Clust. Comput., 2022)

Towards Data-Driven Network Intrusion Detection Systems: Features Dimensionality Reduction and Machine Learning. - Majdi Maabreh; Ibrahim Obeidat; Esraa Abu Elsoud; Asma Alnajjar; Rahaf Alzyoud; Omar Darwish 001 (Int. J. Interact. Mob. Technol., 2022)

Improved dropping attacks detecting system in 5g networks using machine learning and deep learning approaches. - Ala Mughaid; Shadi AlZu'bi; Asma Alnajjar; Esraa AbuElsoud; Subhieh El-Salhi; Bashar Igried; Laith Abualigah (Multim. Tools Appl., 2023)

Correction to: Improved dropping attacks detecting system in 5g networks using machine learning and deep learning approaches. - Ala Mughaid; Shadi AlZu'bi; Asma Alnajjar; Esraa AbuElsoud; Subhieh El-Salhi; Bashar Igried; Laith Abualigah (Multim. Tools Appl., 2023)

A novel machine learning and face recognition technique for fake accounts detection system on cyber social networks. - Ala Mughaid; Ibrahim Obeidat; Shadi AlZu'bi; Esraa Abu Elsoud; Asma Alnajjar; Anas Ratib Alsoud; Laith Abualigah (Multim. Tools Appl., 2023)

A cutting-edge intelligent cyber model for intrusion detection in IoT environments leveraging future generations networks. - Ala Mughaid; Asma Alnajjar; Subhieh M. El-Salhi; Khaled Almakadmeh; Shadi AlZu'bi (Clust. Comput., 2024)