Title: Large Scale Automated Forecasting for Monitoring Network Safety and Security,
Abstract: Real time large scale streaming data pose major challenges to forecasting, in
particular defying the presence of human experts to perform the corresponding
analysis. We present here a class of models and methods used to develop an
automated, scalable and versatile system for large scale forecasting oriented
towards safety and security monitoring. Our system provides short and long term
forecasts and uses them to detect safety and security issues in relation with
multiple internet connected devices well in advance they might take place.