Psychometric Modelling of Cybersecurity Roles.

Autor: Poteete, Paul Wyatt
Zdroj: Proceedings of the International Conference on Cyber Warfare & Security; 2020, p530-538, 9p, 2 Diagrams, 1 Chart
Abstrakt: Human psychology plays a role in career satisfaction and performance in every industry. In the face of a global shortage of cybersecurity professionals, and an often difficult team dynamic around these individuals, it is important to define and understand methods of measurement to provide maximum effectiveness and efficiency within an organization. This research analyzes predictors of individual factors of satisfaction and performance for cybersecurity roles through the integration of prominent psychometric analyses. A combination of these psychometric profiles may provide significant predictors for satisfaction and performance in broad categories of cybersecurity roles that are aggregated and condensed from NIST and several other sources. This research could provide organizations with tools to increase both agility and performance within cybersecurity functions and teams. The work is being conducted through the design science research methodology (DSRM). This allows for the creation of artifacts that address the use of psychometric measurements as predictors for individual psychological factors in cybersecurity roles. Organizations are faced with non-traditional, asymmetric threats from a myriad of cyber-connected sources. A positive conclusion would result in organizational predictors for cybersecurity functions, as well as, opportunities for organizational realignment to allow for unique psychological traits in non-traditional business operations. The findings will contain the created artifacts and results of surveys of cybersecurity professionals. The artifacts will reveal the correlation between the integrated psychometric profiles and cybersecurity functions, exposing their potential to be used as predictors for increased organizational efficiency and effectiveness as reflected by individual satisfaction. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index