The Institute of Informatics for Graduate Studies at the University of Information Technology and Communications discussed the Master’s thesis of student Hawraa Omran Moussa in the field of Computer Science.

The thesis, entitled “Utilizing Deep Learning for Malware Detection,” highlighted the application of deep learning techniques in enhancing cybersecurity systems and early detection of malware.

The thesis aimed to develop advanced mechanisms for malware detection by integrating deep feature extraction techniques with methods for optimizing the selection of the most relevant features. This contributes to increasing classification accuracy and reducing computational constraints, as well as enhancing the ability of systems to confront sophisticated and diverse cyber threats.

The discussion committee consisted of: Assistant Professor Dr. Mohammed Saleh Mahdi as chair, and Assistant Professor Dr. Shatha Mazhar Hassan, Assistant Professor Dr. Ali Hakim Jabr, and Assistant Professor Dr. Muhannad Tahrir Younis as a member and supervisor.

The discussion featured a distinguished scientific presentation on the application of artificial intelligence technologies to cybersecurity, and the student received a distinction.