Date of Award
Spring 2-2023
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Cyber Operations (PhDCO)
Department
Computer Science
First Advisor
Bhaskar Rimal
Second Advisor
Ronghua Shan
Third Advisor
Yong Wang
Abstract
Cyber operations are influenced by a wide range of environmental characteristics, strategic policies, organizational procedures, complex networks, and the individuals who attack and defend these cyber battlegrounds. While no two cyber operations are identical, leveraging the power of computational modeling will enable decision-makers to understand and evaluate the effect of these influences prior to their impact on mission success. Given the complexity of these influences, this research proposes an agent-based modeling framework that will result in an operational performance dashboard for user analysis. To account for cyber team behavioral characteristics, this research includes the development and validation of the Cyber Operations Self-Efficacy Scales (COSES). The underlying statistics, algorithms, research instruments, and equations to support the overall framework are provided. This research represents the most comprehensive cyber operations agent-based performance analysis tools published to date.
Recommended Citation
Becote, Briant, "Defining A Cyber Operations Performance Framework Via Computational Modeling" (2023). Masters Theses & Doctoral Dissertations. 406.
https://scholar.dsu.edu/theses/406