Cyber Warfare Integration to Conventional Combat Modeling: A Bayesian Framework

Date

2021-01-01

Author

Sengul, Zafer
Acartürk, Cengiz

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© 2021 IEEE.Malware propagation is capable of introducing adverse effects in military operations since today's high-tech military weapons and command, control, and communication systems are essentially interconnected ICT systems. Conventional warfare models have been recently upgraded to include cyber warfare elements to reflect the potential influence of cyber-attacks. In the present study, we propose and evaluate a framework for modeling the integrated effect of the spread of malware through computer networks and kinetic warfare. We employ a probabilistic learning approach, namely Bayesian Network analysis, to develop integrated combat models that characterize the spread of malware. The overall aim of the models is to predict which side will likely have the superiority at the end of the war, given the parameters that address the kinetic and cyber-effect influences of the fighting forces at the beginning.

Subject Keywords

Bayesian Network Framework, Combat Models, Cyber Warfare, Epidemic Models

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85124380031&origin=inward
https://hdl.handle.net/11511/98960

DOI

https://doi.org/10.1109/iscturkey53027.2021.9654297

Conference Name

14th International Conference on Information Security and Cryptology, ISCTURKEY 2021

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

Z. Sengul and C. Acartürk, “Cyber Warfare Integration to Conventional Combat Modeling: A Bayesian Framework,” presented at the 14th International Conference on Information Security and Cryptology, ISCTURKEY 2021, Ankara, Türkiye, 2021, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85124380031&origin=inward.