A trustworthy cybersecurity model for transparent cyberattack detection using Bald Eagle Search tuned XGBoost and explainable AI

Abstract The rapid escalation of sophisticated cyberattacks demands intrusion detection systems that not only achieve high accuracy but also provide transparency and fairness in decision-making, addressing critical gaps in current machine learning-based cybersecurity solutions. This study proposes a...

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Autors principals:	Shakti Kundu, Ravi Prakash Chaturvedi, Annu Mishra, Akshat Agrawal, Sultan Mesfer Aldossary, Manel Ayadi, Kedir Botamo Adem, Arshad Hashmi
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2026-03-01
Col·lecció:	Journal of Cloud Computing: Advances, Systems and Applications
Matèries:	Cybersecurity Intrusion detection XGBoost Bald Eagle Search optimization SHAP explainability
Accés en línia:	https://doi.org/10.1186/s13677-026-00878-6
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