Date of Award
5-2023
Document Type
Open Access Thesis
Degree Name
Master of Science (MS)
First Advisor
Lori L. Sussman, Ed.D,
Keywords
Cyber Security, Costing Framework, Dynamic Computational Efficiency, Network Security
Abstract
This study developed a comprehensive framework to systematically evaluate the economic implications of security policy implementation in IT-centric business processes. Focusing on the detection aspect of the NIST cybersecurity framework, the research explored the interrelation between business operations, computational efficiency, and security protocols. The framework comprises nine components, addressing the gap between cost projections and security policy enforcement. The insights provided valuable perspectives on managing security expenses and resource allocation in information security, ensuring alignment with revenue and expenditure outcomes while emphasizing the need for a comprehensive approach to cost management in information security management.
Recommended Citation
Howarth, Afdam, "A Costing Framework for the Dynamic Computational Efficiency of the Network Security Detection Function" (2023). All Student Scholarship. 433.
https://digitalcommons.usm.maine.edu/etd/433
