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Cybersecurity Games for Secure Programming Education in the Industry: Gameplay Analysis

Authors Tiago Gasiba , Ulrike Lechner , Filip Rezabek , Maria Pinto-Albuquerque

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Subject Classification

ACM Subject Classification
  • Security and privacy → Software security engineering
  • Security and privacy → Web application security
  • Applied computing → Interactive learning environments
  • Applied computing → E-learning
Keywords
  • education
  • training
  • secure coding
  • industry
  • cybersecurity
  • capture-the-flag
  • game analysis
  • cybersecurity challenge

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Abstract

To minimize the possibility of introducing vulnerabilities in source code, software developers may attend security awareness and secure coding training. From the various approaches of how to raise awareness and adherence to coding standards, one promising novel approach is Cybersecurity Challenges. However, in an industrial setting, time is a precious resource, and, therefore, one needs to understand how to optimize the gaming experience of Cybersecurity Challenges and the effect of this game on secure coding skills. This work identifies the time spent solving challenges of different categories, analyzes gaming strategies in terms of a slow and fast team profile, and relates these profiles to the game success. First results indicate that the slow strategy is more successful than the fast approach. The authors also analyze the possible implications in the design and the training of secure coding in an industrial setting by means of Cybersecurity Challenges. This work concludes with a brief overview of its limitations and next steps in the study.

Cite As Get BibTex

Tiago Gasiba, Ulrike Lechner, Filip Rezabek, and Maria Pinto-Albuquerque. Cybersecurity Games for Secure Programming Education in the Industry: Gameplay Analysis. In First International Computer Programming Education Conference (ICPEC 2020). Open Access Series in Informatics (OASIcs), Volume 81, pp. 10:1-10:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020) https://doi.org/10.4230/OASIcs.ICPEC.2020.10

Author Details

Tiago Gasiba
  • Siemens AG, München, Germany
  • Universität der Bundeswehr München, Germany
Ulrike Lechner
  • Universität der Bundeswehr München, Germany
Filip Rezabek
  • Siemens AG, München, Germany
Maria Pinto-Albuquerque
  • Instituto Universitário de Lisboa (Iscte), ISTAR, Portugal

Acknowledgements

We would like to thank the anonymous reviewers for the valuable comments and careful reviews. We would also like to thank all game participants as well as our colleagues Jorge Cuellar, Holger Dreger and Thomas Diefenbach for many fruitful discussions.

References

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