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Exploring a Board Game to Improve Cloud Security Training in Industry (Short Paper)

Authors Tiange Zhao , Tiago Espinha Gasiba , Ulrike Lechner , Maria Pinto-Albuquerque

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Subject Classification

ACM Subject Classification
  • Computer systems organization → Cloud computing
  • Social and professional topics → Computer and information systems training
Keywords
  • cloud security
  • cloud control matrix
  • shared-responsibility model
  • industry
  • training
  • gamification

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Abstract

Nowadays, companies are increasingly using cloud-based platform for its convenience and flexibility. However, companies still need to protect their assets when deploying their infrastructure in the cloud. Over the last years, the number of cloud-specific vulnerabilities has been increasing. In this work, we introduce a serious game to help participants to understand the inherent risks, understand the different roles, and to encourage proactive defensive thinking. Our game includes an automated evaluator as a novel element. The players are invited to build defense plans and attack plans, which will be checked by the evaluator. We design the game and organize a trial-run in an industrial setting. Our preliminary results bring insight into the design of such a game, and constitute the first step in a research using design science.

Cite As Get BibTex

Tiange Zhao, Tiago Espinha Gasiba, Ulrike Lechner, and Maria Pinto-Albuquerque. Exploring a Board Game to Improve Cloud Security Training in Industry (Short Paper). In Second International Computer Programming Education Conference (ICPEC 2021). Open Access Series in Informatics (OASIcs), Volume 91, pp. 11:1-11:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021) https://doi.org/10.4230/OASIcs.ICPEC.2021.11

Author Details

Tiange Zhao
  • Siemens AG, Munich, Germany
  • Universität der Bundeswehr München, Germany
Tiago Espinha Gasiba
  • Siemens AG, Munich, Germany
  • Universität der Bundeswehr München, Germany
Ulrike Lechner
  • Universität der Bundeswehr München, Germany
Maria Pinto-Albuquerque
  • University Institute of Lisbon (ISCTE-IUL), ISTAR, Portugal

Funding

This work is partially financed by Portuguese national funds through FCT - Fundação para a Ciência e Tecnologia, I.P., under the projects FCT UIDB/04466/2020 and FCT UIDP/04466/2020. Furthermore, the fourth author thanks the Instituto Universitário de Lisboa and ISTAR, for their support.

References

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