Skip to main content
SpringerLink
Log in

CCTFv1: Computational Modeling of Cyber Team Formation Strategies

  • Conference paper
  • First Online:
Social, Cultural, and Behavioral Modeling (SBP-BRiMS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14161))

Abstract

Rooted in collaborative efforts, cybersecurity spans the scope of cyber competitions and warfare. Despite extensive research into team strategy in sports and project management, empirical study in cybersecurity is minimal. This gap motivates this paper, which presents the Collaborative Cyber Team Formation (CCTF) Simulation Framework. Using Agent-Based Modeling, we delve into the dynamics of team creation and output. We focus on exposing the impact of structural dynamics on performance while controlling other variables carefully. Our findings highlight the importance of strategic team formations, an aspect often overlooked in corporate cybersecurity and cyber competition teams.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 74.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. France 1998–2006. https://footballsgreatest.weebly.com/france-1998-2006.html

  2. French national team 1998. https://www.fifa.com/tournaments/mens/worldcup/1998france/teams/43946

  3. French national team 2002. https://www.fifa.com/tournaments/mens/worldcup/2002korea-japan/teams/43946

  4. How France really won the world cup. https://www.aspeninstitute.org/blog-posts/how-france-really-won-the-world-cup/

  5. What is ethical hacking?. https://www.eccouncil.org/cybersecurity/what-is-ethical-hacking/

  6. What is incident response? https://www.eccouncil.org/cybersecurity/what-is-incident-response/

  7. Collaborative Cyber Team Formation (CCTF) Simulation Framework. github repository (2023). https://github.com/Starwhip/CCTF-Framework

  8. Bär, M., Kempf, A., Ruenzi, S.: Is a team different from the sum of its parts? Evidence from mutual fund managers. Rev. Finan. 15(2), 359–396 (2011)

    Article  Google Scholar 

  9. Bavelas, A.: A mathematical model for group structures. Hum. Organ. 7(3), 16–30 (1948)

    Article  Google Scholar 

  10. Budak, G., Kara, İ, İc, Y.T., Kasımbeyli, R.: New mathematical models for team formation of sports clubs before the match. Central Eur. J. Oper. Res. 27, 93–109 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  11. Cadima, R., Ojeda Rodríguez, J., Monguet Fierro, J.M.: Social networks and performance in distributed learning communities. Educ. Technol. Soc. 15(4), 296–304 (2012)

    Google Scholar 

  12. Callaway, D.S., Newman, M.E., Strogatz, S.H., Watts, D.J.: Network robustness and fragility: Percolation on random graphs. Phys. Rev. Lett. 85(25), 5468 (2000)

    Article  Google Scholar 

  13. Dirks, K.T.: Trust in leadership and team performance: evidence from NCAA basketball. J. Appl. Psychol. 85(6), 1004 (2000)

    Article  Google Scholar 

  14. Dobson, G.B., Carley, K.M.: Cyber-FIT: an agent-based modelling approach to simulating cyber warfare. In: Lee, D., Lin, Y.-R., Osgood, N., Thomson, R. (eds.) SBP-BRiMS 2017. LNCS, vol. 10354, pp. 139–148. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60240-0_18

    Chapter  Google Scholar 

  15. Dobson, G.B., Carley, K.M.: Cyber-fit agent-based simulation framework version 4. In: Center for the Computational Analysis of Social and Organizational Systems (2021)

    Google Scholar 

  16. Friesen, A.P., Wolf, S.A., van Kleef, G.A.: The social influence of emotions within sports teams. In: Feelings in sport, pp. 49–57 (2020)

    Google Scholar 

  17. Greco, L.M., Porck, J.P., Walter, S.L., Scrimpshire, A.J., Zabinski, A.M.: A meta-analytic review of identification at work: relative contribution of team, organizational, and professional identification. J. Appl. Psychol. 107(5), 795 (2022)

    Article  Google Scholar 

  18. Grove, J.R., Fish, M., Eklund, R.C.: Changes in athletic identity following team selection: self-protection versus self-enhancement. J. Appl. Sport Psychol. 16(1), 75–81 (2004)

    Article  Google Scholar 

  19. Gula, B., Vaci, N., Alexandrowicz, R.W., Bilalić, M.: Never too much-the benefit of talent to team performance in the national basketball association: comment on swaab, schaerer, anicich, ronay, and galinsky (2014). Psychol. Sci. 32(2), 301–304 (2021)

    Article  Google Scholar 

  20. Harris, C.M., McMahan, G.C., Wright, P.M.: Talent and time together: the impact of human capital and overlapping tenure on unit performance. Pers. Rev. 41(4), 408–427 (2012)

    Article  Google Scholar 

  21. Jahanbakhsh, F., Fu, W.T., Karahalios, K., Marinov, D., Bailey, B.: You want me to work with who? Stakeholder perceptions of automated team formation in project-based courses. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 3201–3212 (2017)

    Google Scholar 

  22. Johnson, A.R., Van de Schoot, R., Delmar, F., Crano, W.D.: Social influence interpretation of interpersonal processes and team performance over time using Bayesian model selection. J. Manag. 41(2), 574–606 (2015)

    Google Scholar 

  23. Mao, A., Mason, W., Suri, S., Watts, D.J.: An experimental study of team size and performance on a complex task. PLoS ONE 11(4), e0153048 (2016)

    Article  Google Scholar 

  24. Moore, C., Newman, M.E.: Epidemics and percolation in small-world networks. Phys. Rev. E 61(5), 5678 (2000)

    Article  Google Scholar 

  25. Osburg, T., Schmidpeter, R.: Social innovation. In: Solutions for a Sustainable Future, p. 18 (2013)

    Google Scholar 

  26. Sahimi, M.: Applications of Percolation Theory, vol. 213. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-20386-2

    Book  MATH  Google Scholar 

  27. Salas, E., et al.: Does team training improve team performance? A meta-analysis. Hum. Factors 50(6), 903–933 (2008)

    Article  Google Scholar 

  28. Sasou, K., Reason, J.: Team errors: definition and taxonomy. Reliabil. Eng. Syst. Saf. 65(1), 1–9 (1999)

    Article  Google Scholar 

  29. Senge, P.M., Carstedt, G., Porter, P.L.: Next industrial revolution. MIT Sloan Manag. Rev. 42(2), 24–38 (2001)

    Google Scholar 

  30. Swaab, R.I., Schaerer, M., Anicich, E.M., Ronay, R., Galinsky, A.D.: The too-much-talent effect: team interdependence determines when more talent is too much or not enough. Psychol. Sci. 25(8), 1581–1591 (2014)

    Article  Google Scholar 

  31. Xu, H., Bu, Y., Liu, M., Zhang, C., Sun, M., Zhang, Y., Meyer, E., Salas, E., Ding, Y.: Team power dynamics and team impact: new perspectives on scientific collaboration using career age as a proxy for team power. J. Am. Soc. Inf. Sci. 73(10), 1489–1505 (2022)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Saginaw Valley State University, University Center, Michigan, USA

    Tristan J. Calay & Aos Mulahuwaish

  2. University of Nebraska at Kearney, Kearney, USA

    Basheer Qolomany & Liaquat Hossain

  3. University of Cincinnati, Cincinnati, USA

    Jacques Bou Abdo

Authors
  1. Tristan J. Calay
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Basheer Qolomany
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Aos Mulahuwaish
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Liaquat Hossain
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jacques Bou Abdo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Aos Mulahuwaish .

Editor information

Editors and Affiliations

  1. Army Cyber Institute, United States Military Academy, West Point, NY, USA

    Robert Thomson

  2. Creighton University, Omaha, NE, USA

    Samer Al-khateeb

  3. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Annetta Burger

  4. Carnegie Mellon University, Pittsburg, PA, USA

    Patrick Park

  5. Army Cyber Institute, United States Military Academy, West Point, NY, USA

    Aryn A. Pyke

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Calay, T.J., Qolomany, B., Mulahuwaish, A., Hossain, L., Abdo, J.B. (2023). CCTFv1: Computational Modeling of Cyber Team Formation Strategies. In: Thomson, R., Al-khateeb, S., Burger, A., Park, P., A. Pyke, A. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2023. Lecture Notes in Computer Science, vol 14161. Springer, Cham. https://doi.org/10.1007/978-3-031-43129-6_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-43129-6_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43128-9

  • Online ISBN: 978-3-031-43129-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation