Mustansiriyah University discussed a Ph.D. thesis on designing intelligent and secure algorithms that contribute to enhance the performance of software-defined mobile networks (SDWNs) and support the efficiency, flexibility,and security requirements of sixth-generation (6G) networks by the postgraduate student, Ms. Nour Thamer Mahmoud.

The thesis reviewed developing an intelligent system that improves handover management and reducing latency and packet loss, as well as creating an effective framework for monitoring intrusion and anomalies in data traffic, ensuring the implementation of advanced security policies.

The thesis included the design of several algorithms, most notably early anomaly detection using enhanced Poisson estimation (EPMLE), the steepest slope adaptive optimization (SDMO), and the hybrid handover technique (EPSO-Hooke-Jeeves).

The results showed that the developed algorithms outperformed traditional models in terms of improving delivery management efficiency, reducing time loss, and enhancing communication reliability, as well as achieving high rates of threat detection accuracy and reducing false alarms.