Large‐scale automated forecasting for network safety and security monitoring

Roi Naveiro, Simón Rodríguez and David Ríos Insua

Applied Stochastic Models in Business and Industry, 2019, vol. 35, issue 3, 431-447

Abstract: Large‐scale real‐time streaming data pose major challenges to forecasting, in particular, defying the presence of human experts to perform the required analysis. We present here a class of models and methods used to develop an automated, scalable, and versatile system for large‐scale forecasting oriented toward network safety and security monitoring. Our system provides short‐ and long‐term forecasts and uses them to detect issues, well in advance, that might take place in relation with multiple Internet‐connected devices.

Date: 2019
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https://doi.org/10.1002/asmb.2436

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:35:y:2019:i:3:p:431-447

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