Bothos, John M.A. creator Thanos, Konstantinos-Georgios Kyriazanos, Dimitris M. Vardoulias, George Zalonis, Andreas Papadopoulou, Eirini Corovesis, Yannis Thomopoulos, Stelios C.A. text Geneva International Telecommunication Union 2018 monographic eng pdf 7 p. In this paper, a methodology for the enhancement of computer networks' cyber-defense is presented. Using a time-series dataset, drawn for a 60-day period and for 12 hours per day and depicting the occurrences of cyberthreat alerts at hourly intervals, the correlation and dependency coefficients that occur in an organization's network between different types of cyberthreat alerts are determined. Certain mathematical methods like the Spearman correlation coefficient and the Poisson regression stochastic model are used. For certain types of cyberthreat alerts, results show a significant positive correlation and dependence between them. The analysis methodology presented could help the administrative and IT managers of an organization to implement organizational policies for cybersecurity. John M.A. Bothos ... [el al.] Tecnologías habilitadoras digitales Science and Technology 2616-8375 Vol. 2018, no. 1, p. 129-135 2018 1 129 https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2018-15-PDF-E.pdf https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2018-15-PDF-E.pdf FR-PaOEC 190601 20211006062617.0 00005328