Document Type

Conference Paper

Publication Date

2024

Publication Title

Proceedings of the American Society for Engineering Management 2024 International Annual Conference

Pages

1-7

Conference Name

American Society for Engineering Management 2024 International Annual Conference, November 6-9, 2024, Virginia Beach, Virginia, USA

Abstract

Trade-off analysis, a specialization of systems engineering, addresses design criteria like security, cost, performance, and compliance. Monte Carlo simulations are commonly employed to generate impact scenarios for trade-off analysis combined with solution alternatives that accommodate industry-specific considerations and uncertainties. In the cyber domain, this paper proposes a methodology for data-driven trade-off analysis in cybersecurity, leveraging industry reports as primary data sources using confidentiality, integrity, and availability as trade-off analysis objectives. Distribution functions are derived to manage and model uncertainties for various industries. The approach given in this study aims to facilitate informed choices and to enhance cybersecurity decision making and risk management efforts for various industry sectors.

Rights

Copyright © 2024. Reprinted with permission of the American Society for Engineering Management. International Annual Conference. All rights reserved.

Original Publication Citation

Kucukkaya, G., Ozer, M., Balci, M., & Ugurlu, E. (2024). Data driven trade-off analysis for cybersecurity [Paper presentation]. American Society for Engineering Management 2024 International Annual Conference, Virginia Beach, Virginia.

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