SPHINX Toolkit Components Development - Anomaly Detection (AD)

Anomaly Detection is a SPHINX component that analyses network activity and classifies it as either normal or anomalous. AD builds profiles for normal behaviours and uses data mining and machine learning algorithms to identify outliers that are reported as alerts. This presentation shows the 1st version of the component.

SPHINX Project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 826183.