The project is proposed as a continuation of the NetPredict projects: Identification of predictive variables of anomalies in network traffic, completed in 2019 and NetPredict 2: Detection of anomalies in network traffic and identification of possible causes, completed in July 2020.

The final goal of Netpredict 3 is the implementation of a set of advanced machine learning models that allow the automatic interpretation of the causes of the variations in the performance of various network protocols and applications, and their evolution over time. The models developed will be exhaustively evaluated, and the results will be collected in anacademic paper to be submitted to a high-level international conference.