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  1. On directional accuracy of some methods to forecast time series of cybersecurity aggregates.Miguel V. Carriegos, Ramón Ángel Fernández Díaz, M. T. Trobajo & Diego Asterio De Zaballa - 2022 - Logic Journal of the IGPL 30 (6):954-964.
    Cybersecurity aggregates are numerical data obtained by aggregation on features along a database of cybersecurity reports. These aggregates are obtained by integration of time-stamped tables using some recent results of non-standard calculus. Time-series of aggregates are shown to contain relevant information about the concrete system dealt with. Trend time series is also forecasted using known data-driven methods. Although absolute forecasting of trend time series is not obtained, a directional forecasting of trend time series is achieved thence validated by means of (...)
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