{"id":20348,"date":"2025-08-29T16:06:10","date_gmt":"2025-08-29T13:06:10","guid":{"rendered":"https:\/\/su.edu.ye\/fcit\/?p=20348"},"modified":"2025-08-29T16:06:10","modified_gmt":"2025-08-29T13:06:10","slug":"masters-degree-awarded-to-ms-khawla-abdullah-in-information-technology","status":"publish","type":"post","link":"https:\/\/su.edu.ye\/fcit\/en\/20348\/","title":{"rendered":"Master&#8217;s Degree Awarded to Ms. Khawla Abdullah in Information Technology"},"content":{"rendered":"<p>&nbsp;<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Ms. Khawla Ali Ahmed Abdullah <\/strong>was awarded a Master&#8217;s degree in Information Technology for her thesis titled &#8220;<strong>An Integrated Machine Learning and Intrusion Detection System Model for Enhancing Cloud Computing Security<\/strong>,&#8221; which was submitted to Faculty of Computer and Information Technology &#8211; Sana&#8217;a University. The defense was held on<strong> 09-08-2025.<\/strong><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p>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 members:<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li>Main Supervisor: <strong>Prof. Sharaf Al-Hamdi<\/strong><\/li>\n<li>Internal Examiner and Chair: <strong>Prof. Adnan Al-Mutawakil<\/strong><\/li>\n<li>External Examiner: <strong>Prof. Jamil Rashed Qaed<\/strong><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>The thesis aimed<\/strong> to develop an integrated machine learning-based intrusion detection model to enhance cloud computing security. This was achieved by identifying research gaps, utilizing appropriate machine learning algorithms, developing a comprehensive model that combines machine learning algorithms with feature selection methods, and evaluating its performance using standard datasets. The goal was to achieve a high detection rate, improved accuracy, and a low false alarm rate.<\/p>\n<p>The thesis reached several conclusions, including:<\/p>\n<ul>\n<li><strong>Improved Cloud Security:<\/strong> The integration of Intrusion Detection Systems (IDS) with Machine Learning (ML) techniques significantly enhances threat detection capabilities.<\/li>\n<li><strong>Research Findings:<\/strong> The use of NSL-KDD and UNSW-NB15 datasets showed that ensemble models (such as DT+RF+GB and DT+RF+SVM) outperform individual classifiers, with accuracy reaching up to 100%.<\/li>\n<li><strong>Feature Selection:<\/strong> Information-based feature selection techniques maintained high accuracy and increased computational efficiency.<\/li>\n<li><strong>Importance of Hybrid Selection:<\/strong> Models relying solely on specific features, such as RF, showed a decline in performance.<\/li>\n<\/ul>\n<p>The researcher also presented several recommendations in her thesis, including:<\/p>\n<ul>\n<li><strong>Prioritize Ensemble Methods:<\/strong> Use models like DT+RF+GB to achieve an optimal balance between accuracy and flexibility.<\/li>\n<li><strong>Employ Hybrid Feature Selection:<\/strong> Combine human and statistical methods to reduce features while maintaining accuracy.<\/li>\n<li><strong>Avoid Over-reliance on NB with Limited Features:<\/strong> Performance deteriorates with certain feature choices.<\/li>\n<li><strong>Improve Dataset Characteristics:<\/strong> Adjust feature selection and models based on the characteristics of the data used.<\/li>\n<li><strong>Future Research:<\/strong> Explore deep learning and hybrid techniques on these datasets and evaluate their potential application in real-world scenarios.<\/li>\n<\/ul>\n<p><strong>The thesis<\/strong> was examined and recommended by the Viva-Voce Committee for <strong>acceptance<\/strong> and <strong>approval<\/strong>. The defense was attended by a number of academics, researchers, interested individuals, in addition to the candidate\u2019s colleagues and family members.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" loading=\"lazy\" class=\"alignnone size-medium wp-image-20346\" src=\"https:\/\/su.edu.ye\/ce\/wp-content\/uploads\/sites\/3\/2025\/08\/\u0627\u0644\u0628\u0627\u062d\u062b\u0629-\u062e\u0648\u0644\u0629-300x200.jpg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/\u0627\u0644\u0628\u0627\u062d\u062b\u0629-\u062e\u0648\u0644\u0629-300x200.jpg 300w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/\u0627\u0644\u0628\u0627\u062d\u062b\u0629-\u062e\u0648\u0644\u0629-1024x683.jpg 1024w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/\u0627\u0644\u0628\u0627\u062d\u062b\u0629-\u062e\u0648\u0644\u0629-768x512.jpg 768w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/\u0627\u0644\u0628\u0627\u062d\u062b\u0629-\u062e\u0648\u0644\u0629-370x247.jpg 370w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/\u0627\u0644\u0628\u0627\u062d\u062b\u0629-\u062e\u0648\u0644\u0629-270x180.jpg 270w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/\u0627\u0644\u0628\u0627\u062d\u062b\u0629-\u062e\u0648\u0644\u0629-600x400.jpg 600w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/\u0627\u0644\u0628\u0627\u062d\u062b\u0629-\u062e\u0648\u0644\u0629-272x182.jpg 272w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/\u0627\u0644\u0628\u0627\u062d\u062b\u0629-\u062e\u0648\u0644\u0629.jpg 1080w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/> <img loading=\"lazy\" decoding=\"async\" loading=\"lazy\" class=\"alignnone size-medium wp-image-20345\" src=\"https:\/\/su.edu.ye\/ce\/wp-content\/uploads\/sites\/3\/2025\/08\/3-300x200.jpg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/3-300x200.jpg 300w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/3-768x513.jpg 768w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/3-370x247.jpg 370w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/3-270x180.jpg 270w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/3-600x400.jpg 600w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/3-272x182.jpg 272w, https:\/\/su.edu.ye\/fcit\/wp-content\/uploads\/sites\/3\/2025\/08\/3.jpg 920w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n\n    <div class=\"xs_social_share_widget xs_share_url after_content \t\tmain_content  wslu-style-1 wslu-share-box-shaped wslu-fill-colored wslu-none wslu-share-horizontal wslu-theme-font-yes wslu-main_content\">\n\n\t\t\n        <ul>\n\t\t\t        <\/ul>\n    <\/div> \n","protected":false},"excerpt":{"rendered":"<p>&nbsp; \u00a0 Ms. Khawla Ali Ahmed Abdullah was awarded a Master&#8217;s degree in Information Technology for her thesis titled &#8220;An &hellip; <\/p>\n","protected":false},"author":128,"featured_media":20344,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[121],"tags":[],"class_list":["post-20348","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-2"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.9 - aioseo.com -->\n\t<meta name=\"description\" content=\"Ms. Khawla Ali Ahmed Abdullah was awarded a Master&#039;s degree in Information Technology for her thesis titled &quot;An Integrated Machine Learning and Intrusion Detection System Model for Enhancing Cloud Computing Security,&quot; which was submitted to Faculty of Computer and Information Technology - Sana&#039;a University. 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