Open access
Jul 2026
Interpretable Deep Learning Defences via User Anomaly Detection in Cloud Platforms
This paper introduces an interpretable deep learning defence framework in the context of user anomaly detection for both IaaS and PaaS cloud service layers and SaaS application layer and shows that the detection accuracy and F1-score are much higher than those of the conventional rule-based and black-box deep learning IDSs.
Madhavi Kapre, P. Sahu, Raman Verma et al.
· Journal of Intelligent Decis... · 0 citations