A Comparative Analysis of Machine Learning Performance on Dos Attack Detection

Software-Defined Networking (SDN) presents a novel approach to network architecture, characterized by the separation of control and data planes, enabling centralized management and agile resource allocation. However, this newfound flexibility also exposes networks to significant security vulnerabilities, particularly concerning Denial-of-Service (DoS) attacks, which disrupt service availability by overwhelming network resources. This study explores the application […]