AIBullisharXiv – CS AI · 9h ago6/10
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Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework
Researchers present an XGBoost and SHAP-based intrusion detection framework for protecting U.S. critical infrastructure using explainable AI techniques. The study demonstrates how machine learning models combined with transparency mechanisms can enhance cybersecurity decision-making across energy, healthcare, transportation, and financial sectors.