Zainab Qahtan Mohammed

Towards Trustworthy Intrusion Detection: A Calibration-Aware and Explainable Classical-ML Pipeline on NSL-KDD

Existing assessments of machine-learning-based intrusion detection systems (IDSs) often consider each of accuracy, reliability of probability outputs, and transparency of decisions separately. Few attempt to combine all three dimensions in a single assessment. This paper provides a reproducible IDS pipeline that satisf...