Game-Theoretic Explainable AI for Ensemble-Boosting Models in Early Malware Prediction for Computer Systems

Abstract Malware continues to pose a critical threat to computing systems, with modern techniques often bypassing traditional signature-based defenses. Ensemble-boosting classifiers, including GBC, XGBoost, AdaBoost, LightGBM, and CatBoost, have shown strong predictive performance for malware detect...

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Bibliografische Detailangaben

Hauptverfasser:	Shagufta Henna, Mallikharjuna Rao Sakhamuri, Lakshya Gourav Moitra, Upaka Rathnayake
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2025-11-01
Schriftenreihe:	International Journal of Computational Intelligence Systems
Schlagworte:	Explainable AI Ensemble-boosting SHAP LIME DALEX AnchorTabular
Online-Zugang:	https://doi.org/10.1007/s44196-025-01011-2
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