5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.CR2020★ 5 cited
Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services
Vilc Rufino, Mateus Nogueira, Alberto Avritzer +7
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,…
cs.CR2020
A Model-Based Approach to Anomaly Detection Trading Detection Time and False Alarm Rate
Charles F. Gonçalves, Daniel S. Menasché, Alberto Avritzer +2
The complexity and ubiquity of modern computing systems is a fertile ground for anomalies, including security and privacy breaches. In this paper, we propose a new methodology that…