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What is Explainable AI for Intrusion Detection about?
Published in Electronics (2022), this study by Patil et al. integrates explainable AI (XAI) into machine learning–based IDS to enhance cybersecurity transparency. Using the CICIDS-2017 dataset, the authors employed decision trees, random forests, and SVM models, achieving 96.25% accuracy with an ensemble voting classifier. The paper introduces LIME (Local Interpretable Model-Agnostic Explanations) for interpretability, allowing human-understandable insights into IDS decisions. It emphasizes redu
- Author
- thisizseerat
- Language
- EN