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Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces
EADMNC leverages the formulation of the previous ADMNC model to offer pre hoc and post hoc explainability, while maintaining the accuracy of the original architecture.
Detecting fraudulent activity in a cloud using privacy-friendly data aggregates
They can be either illegal activities, such as launching a DDoS attack or just activities which are undesired by the cloud provider, such as Bitcoin mining, which uses substantial power, reduces the life of the hardware and can possibly slow down other user's activities.
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