Shakir M. Usman

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

Software-defined networking (SDN) offers flexibility and scalability but also introduces new cybersecurity challenges. We propose a scalable and transparent intrusion detection system (IDS) for SDNs using machine learning models that balance accuracy and computational efficiency. Our results show that the decision tree...