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Variable Self-Efficacy as a Measurement for Behaviors in Cyber Security Operations

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Augmented Cognition. Human Cognition and Behavior (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12197))

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Abstract

Training and development of skills gives individuals the knowledge and procedures required to perform their tasks. Training also requires individuals to develop reflective skills that help consolidate and transfer knowledge to long-term memory, where it then can be recalled in appropriate situations. But to develop reflective skills, one must first engage with the task’s demands and then analyse how one’s skills were appropriate or not for the situational demands, and how one could have also approached the situation differently. This process leads to an adaptable self-efficacy. It is still unclear how personality trait measures of self-efficacy can predict performance in cyber security operations. We developed an adaptable self-efficacy measure which was collected via an app. Findings support previous research that specific self-efficacy has better predictive validity, but also finds that an increased number of measurements could yield better effect sizes. This research shows how multiple measurements of specific self-efficacy can be done with minimized invasiveness while providing better measurement reliability and predictability. General findings and implications for further research are also discussed.

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Acknowledgments

We would like to thank the Norwegian Defence Cyber Academy and the officer cadets for their cooperation in this study.

Author information

Authors and Affiliations

  1. Institute of Psychology, Inland Norway University of Applied Sciences, Lillehammer, Norway

    Ricardo G. Lugo & Øyvind Josøk

  2. Department of Information Security and Communication Technology, Norwegian University of Science and Technology, Gjøvik, Norway

    Benjamin J. Knox

  3. Child and Youth Participation and Competence Development (BUK), Inland Norway University of Applied Sciences, Lillehammer, Norway

    Øyvind Josøk

  4. Faculty of Health and Welfare Sciences, Østfold University College, Halden, Norway

    Stefan Sütterlin

  5. Centre for Digital Forensics and Cyber Security, Tallinn University of Technology, Tallinn, Estonia

    Stefan Sütterlin

Authors
  1. Ricardo G. Lugo
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  2. Benjamin J. Knox
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  3. Øyvind Josøk
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  4. Stefan Sütterlin
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Corresponding author

Correspondence to Ricardo G. Lugo .

Editor information

Editors and Affiliations

  1. Soar Technology Inc., Orlando, FL, USA

    Dylan D. Schmorrow

  2. Design Interactive, Inc., Orlando, FL, USA

    Cali M. Fidopiastis

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Lugo, R.G., Knox, B.J., Josøk, Ø., Sütterlin, S. (2020). Variable Self-Efficacy as a Measurement for Behaviors in Cyber Security Operations. In: Schmorrow, D., Fidopiastis, C. (eds) Augmented Cognition. Human Cognition and Behavior. HCII 2020. Lecture Notes in Computer Science(), vol 12197. Springer, Cham. https://doi.org/10.1007/978-3-030-50439-7_27

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  • DOI: https://doi.org/10.1007/978-3-030-50439-7_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50438-0

  • Online ISBN: 978-3-030-50439-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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