Did the Cyber Team Win?

Cyber team performance in military conflict scenarios is very difficult to quantify due to its ambiguous nature. Thisresearch effort aims to improve our understanding of how cyber teams affect the terrain they are charged with protecting,and which other forces depend on. An agent-based modeling and simulation software called the Cyber Forces-Interactions-Terrain (Cyber-FIT) framework is used to simulate realistic cyber team missions in contested cyberspace and then quantifytheir performance from observable data sources. The software ingests configuration files to setup agent characteristics andthen, after simulation runs, outputs data files that are used for statistical analysis. Two virtual experiments are conducted inthis work. The first tests different team setups in terms of skill level against varying adversary complexity levels todemonstrate the importance of human resourcing in the cyber forces. The second analyses deployment delay time to anactive conflict which depicts the efficacy of agent-based modeling of cyber assets for wargaming applications. All facevalidated simulations are based on a combination of industry frameworks, survey data, and empirical data to give asufficiently realistic representation of cyber conflict. As military forces become ever more dependent on cyberspace to realizeeffects and project power, the understanding of cyberspace as a terrain of war becomes more critical. This research takeson the difficult task of defining and computationally modeling the abstract phenomenon that is cyberspace. This gives battlecommander and military leadership a better answer to: did the cyber team win?

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Publication Details

Journal
International Conference on Cyber Warfare and Security
Published
2025-03-24
DOI
https://doi.org/10.34190/iccws.20.1.3492
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Did the Cyber Team Win?

Geoffrey B. Dobson, Kathleen M. Carley
International Conference on Cyber Warfare and Security
Big Data and Business Intelligence
article

Did the Cyber Team Win?

Geoffrey B. Dobson, Kathleen M. Carley
article en

Abstract

Cyber team performance in military conflict scenarios is very difficult to quantify due to its ambiguous nature. Thisresearch effort aims to improve our understanding of how cyber teams affect the terrain they are charged with protecting,and which other forces depend on. An agent-based modeling and simulation software called the Cyber Forces-Interactions-Terrain (Cyber-FIT) framework is used to simulate realistic cyber team missions in contested cyberspace and then quantifytheir performance from observable data sources. The software ingests configuration files to setup agent characteristics andthen, after simulation runs, outputs data files that are used for statistical analysis. Two virtual experiments are conducted inthis work. The first tests different team setups in terms of skill level against varying adversary complexity levels todemonstrate the importance of human resourcing in the cyber forces. The second analyses deployment delay time to anactive conflict which depicts the efficacy of agent-based modeling of cyber assets for wargaming applications. All facevalidated simulations are based on a combination of industry frameworks, survey data, and empirical data to give asufficiently realistic representation of cyber conflict. As military forces become ever more dependent on cyberspace to realizeeffects and project power, the understanding of cyberspace as a terrain of war becomes more critical. This research takeson the difficult task of defining and computationally modeling the abstract phenomenon that is cyberspace. This gives battlecommander and military leadership a better answer to: did the cyber team win?

International Conference on Cyber Warfare and SecurityVol. 20(1)
Carnegie Mellon University (US)
Openalex Percentile: Top 72%
Big Data and Business Intelligence
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Did the Cyber Team Win? — Geoffrey B. Dobson, Kathleen M. Carley · International Conference on Cyber Warfare and Security (2025) | TGRS Research Map | TGRS