Detecting intrusions in cloud-based ensembles: evaluating voting and stacking methods with machine learning classifiers

Detecting intrusions in cloud-based ensembles: evaluating voting and stacking methods with machine learning classifiers

IntroductionCloud computing has revolutionized how organizations manage their infrastructure by providing scalable, on-demand services. However, the dispersed and open nature of cloud systems exposes them to a wide spectrum of cyberattacks. Machine learning provides dynamic options for detecting kno...

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Bibliographic Details
Main Authors: Khawla Ali Maodah, Sharaf Alhomdy, Fursan Thabit
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Computer Science
Subjects:
cloud computing
machine learning
voting
stacking
intrusion detection system
NSL-KDD dataset
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2025.1623375/full
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