Furqan Shaikh Mohammed Junaid

Evaluating the Robustness of Machine Learning-Based Network Intrusion Detection Against Feature-Space Adversarial Evasion: An InSDN Study

Machine learning-based network intrusion detection systems often perform extremely well on standard test datasets. However, high accuracy on clean data does not necessarily mean that these models can withstand carefully designed input manipulation. In this study, we examine the robustness of three widely used classifie...