Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree

Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree

Abstract Billions of gadgets are already online, making the IoT an essential aspect of daily life. However, the interconnected nature of IoT devices also leaves them open to cyber threats. The quantity and sophistication of cyber assaults aimed against Internet of Things (IoT) systems have skyrocket...

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Bibliographic Details
Main Authors: Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Simaiya, Manel Ayadi, Nouf A. Almujally, Amel Ksibi
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Anomaly detection
CHAID decision tree
IoT cyber attacks
Multistep attack
Security investigation
Zero-day attack
Online Access:https://doi.org/10.1186/s13677-023-00517-4

Internet

https://doi.org/10.1186/s13677-023-00517-4

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