Publication details

Time Series Solver

Authors

REJCHRT Jan JIRSÍK Tomáš VYKOPAL Jan

Year of publication 2013
MU Faculty or unit

Institute of Computer Science

Attached files
Description Time series solver is an variable anomaly detection tool which uses time series gathered via network traffic monitoring to detect potential anomalies or security threads. The algorithms used to determine anomalies are following: moving average, Holt-Winters detection method, Hodrick-Prescott filter. The goal is to locate an anomaly in the network traffic. The tool is also capable of basic decomposition of the network traffic.

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