Cloud-based multiclass anomaly detection and categorization using ensemble learning

Cloud-based multiclass anomaly detection and categorization using ensemble learning

Abstract The world of the Internet and networking is exposed to many cyber-attacks and threats. Over the years, machine learning models have progressed to be integrated into many scenarios to detect anomalies accurately. This paper proposes a novel approach named cloud-based anomaly detection (CAD)...

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Bibliographic Details
Main Authors: Faisal Shahzad, Abdul Mannan, Abdul Rehman Javed, Ahmad S. Almadhor, Thar Baker, Dhiya Al-Jumeily OBE
Format: Article
Language:English
Published: SpringerOpen 2022-11-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Cloud computing
Anomaly detection
Cyberattacks
Deep learning
Ensemble learning
Multiclass attack
Online Access:https://doi.org/10.1186/s13677-022-00329-y

Internet

https://doi.org/10.1186/s13677-022-00329-y

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