18 February، 2025
master’s thesis of the student Zahraa Hani Salem
Master’s thesis defense in the College of Computer Science and Mathematics – Department of Software Department
Title: Intrusion Detection Based on Meta-Learning
As part of the ongoing advancement of scientific research and under the supervision and presence of Professor Dr. Duha Basheer Abdullah, Dean of the College of Computer Science and Mathematics,
The master’s thesis of the student Zahraa Hani Salem was discussed in the discussion hall at the College of Computer Science and Mathematics at the University of Mosul on Tuesday, 11/2/2025, under the supervision of Professor Dr. Safwan Omar Hassoun.
The thesis dealt with the development of an intrusion detection system using meta-learning techniques, with the aim of enhancing the efficiency of detecting cyber-attacks and providing innovative solutions to the challenges facing cyber security systems.
The system relies on integrating machine learning algorithms with meta-learning to predict attacks, in addition to integrating deep learning such as convolutional neural networks (CNN), recurrent neural networks (RNN), and long short-term memory (LSTM) with meta-learning models to analyze intrusion behavior and accurately predict attacks.
Experiments on datasets such as IoTID20 and NSL-KDD showed an ideal classification accuracy of up to 99.03% after tuning the parameters. The research reinforces the importance of using meta-learning in developing intrusion detection systems that can adapt to increasing cyber threats and reduce false alarm rates. This work opens new horizons for improving the performance of deep learning algorithms in the field of cybersecurity.
Thus, the study is considered an advanced step in the field of cyber intrusion detection, as it presented a new approach based on meta-learning to improve the performance of cybersecurity systems and reduce false alarm rates.
The discussion committee was chaired by Asst. Prof. Dr. Nada Nemat Salim
And the membership of each of:
Asst. Prof. Dr. Samaa Tali’ Aziz Member
Dr. Ibrahim Mohamed Ahmed Member
Prof .Dr. Safwan Omar Hassoun Member and Supervisor
