The Faculty of Computer Science and Mathematics discussed a doctoral thesis entitled “Security Cloud System for Malware Detection based on Data Mining Techniques”.

‪The dissertation presented by PhD student Ghaith Mussa Hamza, under the supervision of Asst. Prof. Dr. Karim Kredee. The research focuses on developing a cutting-edge security cloud system for malware detection, using innovative data mining techniques to overcome the challenges in cloud security. This comprehensive system involves multiple stages, including dataset selection, careful exploration and processing, feature selection, correlation analysis, and the utilization of advanced classification models like Support Vector Machine, Naive Bayes, Decision Tree, Logistic Regression, Random Forest, and Artificial Neural Network. The impressive results obtained showcase a remarkable 98.881% accuracy by employing the Random Forest classifier. Finally, this dissertation has been accepted successfully.