85 citations · 87 across the 4 of their papers we have counts for
4 papers
Rare Yet Popular: Evidence and Implications from Labeled Datasets for Network Anomaly Detection
Jose Manuel Navarro, Alexis Huet, Dario Rossi
Anomaly detection research works generally propose algorithms or end-to-end systems that are designed to automatically discover outliers in a dataset or a stream. While literature…
Local Evaluation of Time Series Anomaly Detection Algorithms
Alexis Huet, Jose Manuel Navarro, Dario Rossi
In recent years, specific evaluation metrics for time series anomaly detection algorithms have been developed to handle the limitations of the classical precision and recall. Howev…
Human readable network troubleshooting based on anomaly detection and feature scoring
Jose M. Navarro, Alexis Huet, Dario Rossi
Network troubleshooting is still a heavily human-intensive process. To reduce the time spent by human operators in the diagnosis process, we present a system based on (i) unsupervi…
HURRA! Human readable router anomaly detection
Jose M. Navarro, Dario Rossi
This paper presents HURRA, a system that aims to reduce the time spent by human operators in the process of network troubleshooting. To do so, it comprises two modules that are plu…