Patent ID: 11924049
Assignee: ACCEDIAN NETWORKS INC.
Field: Digital communication (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 8:
9. An network anomaly detection system for detecting performance anomalies comprising:
a measurement system configured to collect a plurality of time series of performance measures on one or more monitored objects in a network, to create a new time series;
a processor; and
a non-volatile memory storing instructions that, when executed by the processor, configure the network anomaly detection system to:
maintain an abnormal cluster center and a normal cluster center from a binary clustering of historical time series for a performance measure for a monitored object of the one or more monitored objects;
extract a motif using a discrete window on the new time series;
classify said motif based on a distance between said motif and said abnormal cluster center and said normal cluster center; and
determine an anomaly for said performance measure for said monitored object occurred based on said distance and a predetermined decision boundary.