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Preetishree Patnaik

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Open access Oct 2026

Explainable Machine Learning for Real-Time Cyber Threat Detection: An Intelligent Framework for Adaptive Information Security

The cyber threats in IoT environments are constantly changing and need accurate, interpretable, efficient and adaptive intrusion detection. This research suggests an explainable machine-learning framework with the CICIoT2023 dataset. Logistic Regression, Decision Tree, Random Forest, XGBoost, and Explainable Boosting M...

S. Gusai, Shrikant Telang, R. Balakrishnan et al. · 0 citations

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