Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services

IEEE Access, pp. 198152-198167, 2020.

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Abstract:

Anomaly detection systems aim to detect and report attacks or unexpected behavior in networked systems. Previous work has shown that anomalies have an impact on system performance, and that performance signatures can be effectively used for implementing an IDS. In this paper, we present an analytical and an experimental study on the trade...More

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