{"id":21196,"date":"2026-01-06T21:37:58","date_gmt":"2026-01-06T18:37:58","guid":{"rendered":"https:\/\/su.edu.ye\/voga\/?p=21196"},"modified":"2026-01-06T21:42:48","modified_gmt":"2026-01-06T18:42:48","slug":"phd-degree-awarded-to-ms-suad-mohammed-abdullah-ahmed-othman-in-information-technology","status":"publish","type":"post","link":"https:\/\/su.edu.ye\/voga\/en\/21196\/","title":{"rendered":"PhD Degree Awarded to Ms. Suad Mohammed Abdullah Ahmed Othman in Information Technology"},"content":{"rendered":"

Ms. Suad Mohammed Abdullah Ahmed Othman\u200e <\/strong>was awarded a PhD degree in Information Technology <\/strong>for her dissertation titled: A Novel Intelligent Distributed Model for Intrusion Detection and Prevention in Cloud Computing<\/em><\/strong>, which was submitted to the Department of Information Technology, Faculty of Computer Science and Information Technology <\/strong>\u2013 Sana\u2019a University. The dissertation defense was held on Thursday, January 1, 2026<\/strong>.<\/p>\n

 <\/p>\n

The PhD Viva-Voce Committee, which was formed based on a resolution issued by the Graduate Studies and Scientific Research Council, consisted of the following:<\/p>\n

\u00a0<\/em><\/strong><\/p>\n\n\n\n\n\n\n
#<\/strong><\/td>\nCommittee Members<\/strong><\/td>\nDesignation<\/strong><\/td>\nPosition<\/strong><\/td>\n<\/tr>\n
1<\/td>\nProf. Ibrahim Ahmed Al-Baltah \u200e<\/strong><\/td>\nInternal Examiner<\/td>\nChair<\/td>\n<\/tr>\n
2<\/td>\nProf. Adnan Yahya Al-Mutawakkil \u200e<\/strong><\/td>\nMain Supervisor<\/td>\nMember<\/td>\n<\/tr>\n
3<\/td>\nProf. Adel Abdulsalam Nasser \u200e<\/strong><\/td>\nExternal Examiner<\/td>\nMember<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

The study aimed to propose a new intelligent model for the detection and prevention of \u200ecyberattacks in cloud computing environments.<\/p>\n

The study findings showed that the proposed model attained a detection accuracy of up to 99%, demonstrating the effectiveness and reliability of such a proposed intelligent distributed model.<\/p>\n

In the light of the findings, the researcher recommended adopting intelligent systems for attack detection, thereby contributing to enhanced data security and institutional protection in cloud computing infrastructures.<\/p>\n

The dissertation defense was attended by a number of academics, researchers, and specialists, students, colleagues, and the researcher\u2019s family.<\/p>\n

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