Systems and methods for detection and correction of anomalous network system behavior

Abstract

An anomaly prediction tool is employed on a communication network to monitor systems and/or devices on the network for anomalous behaviors. The anomaly prediction tool can include a machine learning (ML) model to detect anomalous network systems operating on the network based on a data tree derived from network configuration data for the network. In some examples, the ML model is a graph-based convolutional neural network.

CPC Classifications