M. Raza

Towards Trustworthy Software-Defined Network Security: An Explainable and Computationally Efficient Machine Learning Framework for Intrusion Detection

This work proposes a scalable and transparent intrusion detection system (IDS) for SDNs using machine learning models that balance accuracy and computational efficiency, and explains the most important traffic characteristics, such as the length of the packets and the destination port, which are used to decide the deci...