System and method for anomaly detection in a network

Abstract

The present invention relates to a system (108) and method (600) for anomaly detection in a network (106) The method involves the step of retrieving historic performance metrics data from one or more data sources (110), selecting one or more features from the retrieved historic performance metrics data, and loading a model (220) with at least one of the historic performance metrics data and the selected one or more features. The method further involves the step of receiving the real time data pertaining to performance metrics from the one or more data sources subsequent to training the model. The method further involves the step of determining if the real time data includes one or more anomalies utilizing the trained model (220). The present invention ensures real-time detection of anomalies, improving network reliability and performance.

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