Moa’ath Sa’ad Al-A’athal

Explainable AI for Intrusion Detection: A SHAP-Guided Machine Learning Framework for Actionable Cybersecurity Insights

An explainable machine learning framework for network intrusion detection using the CICIDS2017 dataset is proposed, which improves detection accuracy, reduces false positives, and supports informed decision-making, thereby enhancing the transparency, trustworthiness, and practical applicability of intrusion detection systems.