Utilizing Machine Learning Algorithms for Effectively Detection IoT DDoS Attacks. - Ala Mughaid; Ali Alqahtani 003; Shadi AlZu'bi; Ibrahim Obeidat; Rabee Alqura'n; Mahmoud AlJamal; Raid AL-Marayah (ACR, 2023)

Simulated Model for Preventing IoT Fake Clients over the Smart Cities Environment. - Mahmoud AlJamal; Ala Mughaid; Rabee Alqura'n; Muder Almiani; Shadi AlZu'bi (DASC/PiCom/CBDCom/CyberSciTech, 2023)

A Novel Machine Learning Cyber Approach for Detecting WannaLocker Ransomware Attack on Android Devices. - Mahmoud AlJamal; Rabee Alqura'n; Issa Al-Aiash; Ala Mughaid; Shadi AlZu'bi; Ala A. Abutabanjeh (ICIT, 2023)

Harnessing ML and NLP for Enhanced Cybersecurity: A Comprehensive Approach for Phishing Email Detection. - Mahmoud AlJamal; Rabee Alqura'n; Mohammad Aljaidi; Osama S. AlJamal; Ayoub Alsarhan; Issa Al-Aiash; Ghassan Samara; Mohammad BaniSalman; Mohammad Khouj (ACIT, 2024)

Machine Learning as the Shield: Mitigating ARP Poisoning Attacks in Software Defined Networks. - Rabee Alqura'n; Mahmoud AlJamal; Mohammad Aljaidi; Mohammad AlJamal; Bashar Khassawneh; Ayoub Alsarhan; Omar Alidmat; Ghassan Samara; Sattam Almatarneh (ACIT, 2024)

A Robust Machine Learning Model for Detecting XSS Attacks on IoT over 5G Networks. - Mahmoud AlJamal; Rabee Alqura'n; Ayoub Alsarhan; Mohammad Aljaidi; Mohammad Alhmmad; Wafa' Q. Al-Jamal; Nasser S. Albalawi (Future Internet, 2024)

Optimized digital watermarking: Harnessing the synergies of Schur matrix factorization, DCT, and DWT for superior image ownership proofing. - Issa Al-Aiash; Rabee Alqura'n; Mahmoud AlJamal; Ayoub Alsarhan; Mohammad Aljaidi; Dimah Al-Fraihat (Multim. Tools Appl., 2025)

Optimized Novel Text Embedding Approach for Fake News Detection on Twitter X: Integrating Social Context, Temporal Dynamics, and Enhanced Interpretability. - Mahmoud AlJamal; Rabee Alqura'n; Ayoub Alsarhan; Mohammad Aljaidi; Wafa' Q. Al-Jamal; Ali Fayez Alkoradees (Int. J. Comput. Intell. Syst., 2025)