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CCTFv2: Modeling Cyber Competitions.

Basheer Qolomany1,2, Tristan J Calay3, Liaquat Hossain4

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Summary
This summary is machine-generated.

Team collaboration significantly impacts cyber competition success, validating existing team performance theories. Computational modeling allows precise prediction of team strategies in cybersecurity competitions.

Keywords:
cyber competitioncybersecuritymachine learningteams

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Area of Science:

  • Cybersecurity
  • Computational Social Science
  • Team Performance Studies

Background:

  • Cyber competitions are increasingly prevalent, yet team performance and formation strategies are understudied in this domain.
  • Existing research on team dynamics in sports and project management lacks direct application to cybersecurity contexts.
  • A formal study of team performance is needed to optimize strategies for cyber competitions.

Purpose of the Study:

  • To investigate and formalize the study of team performance within cyber competitions.
  • To bridge the gap between general team performance literature and the specific domain of cybersecurity.
  • To validate the applicability of established team theories to cyber competition environments.

Main Methods:

  • Utilized Agent-Based Modeling (ABM) in NetLogo to computationally simulate cyber competitions.
  • Modeled team members as collaborating agents with varying abilities and interaction levels within a network.
  • Developed a theoretical framework from team performance literature and employed Structural Equation Modeling (SEM) for causal inference, cross-validating with ABM results.

Main Results:

  • ABM simulations demonstrated that team collaboration is a critical factor in cyber competition outcomes.
  • SEM analysis confirmed a high resemblance between the computational model and the theoretical framework.
  • The study successfully cross-validated computational and theoretical approaches to understanding team performance in cyber competitions.

Conclusions:

  • Established theories of team performance are directly applicable and valid within the context of cyber competitions.
  • Computational modeling offers a powerful tool for coaches and researchers to test novel team strategies and predict performance accurately.
  • This research introduces novel methodology and findings to the field of cyber competition analysis.