Comparative performance evaluation of machine learning classifiers for multi-class intrusion detection on the NSL-KDD dataset.
Intrusion Detection Systems (IDSs) play a vital role in safeguarding modern network infrastructures against increasingly sophisticated cyber threats. However, the high dimensionality of network traffic data and the presence of imbalanced attack classes often limit the effectiveness of conventional Machine Learning (ML)...