{"id":20734,"date":"2025-09-30T18:59:28","date_gmt":"2025-09-30T15:59:28","guid":{"rendered":"https:\/\/su.edu.ye\/fcit\/?p=20734"},"modified":"2025-09-30T18:59:28","modified_gmt":"2025-09-30T15:59:28","slug":"masters-degree-awarded-to-ms-firdaws-al-harazi-in-cybersecurity","status":"publish","type":"post","link":"https:\/\/su.edu.ye\/fcit\/en\/20734\/","title":{"rendered":"Master’s Degree Awarded to Ms. Firdaws Al-Harazi in Cybersecurity"},"content":{"rendered":"

Ms. Firdaws Mansour Ahmed Al-Harazi was awarded a Master’s degree in Cybersecurity for her thesis titled \u201cA Deep Learning-Based Security Model for Detecting Privilege Misuse,\u201d which was submitted to Department of Computer Science, Faculty of Computer and Information Technology- Sana\u2019a University. The MA defense was held on Monday, August 11, 2025, corresponding to Safar 17, 1447 Hijri.<\/p>\n

The MA Viva-voce Committee, which was formed based on a resolution issued by the Post-Graduate Studies and Scientific Research Council, consisted of the following:
\nProf. Malek Nasser Al-Jabri, Main Supervisor and Member.
\nProf. Abdulwasea Mohammed Al-Azzani, Internal Examiner and Chair.
\nAssoc. Prof. Jameel Rashed Qaid, External Examiner and Member.<\/p>\n

The thesis aimed to detect privilege misuse in organizational systems. The thesis achieved a number of findings, including detecting privilege misuse by employees within institutions with a success rate of 99.10%.
\nThe thesis concluded with several recommendations, including integrating artificial intelligence with blockchain technology to prevent the misuse of privileges.<\/p>\n

The thesis was examined and recommended by the Viva-Voce Committee for acceptance and approval. The defense was attended by a number of academics, researchers, students, and interested individuals, in addition to the candidate\u2019s colleagues and family members.<\/p>\n

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