TY  - GEN
AU  - Bothos,John M.A.
AU  - Thanos,Konstantinos-Georgios
AU  - Kyriazanos,Dimitris M.
AU  - Vardoulias,George
AU  - Zalonis,Andreas
AU  - Papadopoulou,Eirini
AU  - Corovesis,Yannis
AU  - Thomopoulos,Stelios C.A.
TI  - Correlation and dependence analysis on cyberthreat alerts
PY  - 2018///
CY  - Geneva
PB  - International Telecommunication Union
KW  - Tecnologías habilitadoras digitales
KW  - Science and Technology
N2  - 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
UR  - https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2018-15-PDF-E.pdf
ER  -