Viavi Solutions Inc.
ANOMALY DETECTION ACCORDING TO A MULTI-MODEL ANALYSIS

Abstract:

An anomaly detection system may train a first model associated with detecting anomalies involving a log source based on first historical logs associated with the log source and may train a second model associated with the log source based on second historical logs associated with the log source and target data that is associated with the second historical logs. The anomaly detection system may cause the first model to process the second historical logs to generate training anomaly data of the log source. The anomaly detection system may train a third model associated with the log source based on the training anomaly data and the target data. The anomaly detection system may configure, based on outputs from the second model and the third model, an anomaly detection model to detect the anomalies in input data that is provided to the first model and the second model.