Phishing for proficiency: evaluating proficiency-based categorisation for personalised phishing training

Purpose This study aims to investigate the impact of personalised phishing training on users’ phishing detection skills, by adapting training content to users’ phishing proficiency. The authors provide practical recommendations on how phishing training can be improved through personalisation. Design/methodology/approach In two online studies with 96 and 158 participants, the authors assigned participants to one of three groups that received tailored training based on a composite phishing proficiency measure. Findings The training enhanced overall phishing proficiency and reduced disparities between participants, by equalising proficiency across groups, regardless of their initial proficiency. These effects transferred to phishing classification accuracy, which supports the utility of the proficiency-based grouping approach. Originality/value This work advances personalised phishing training by introducing a composite phishing proficiency score, revising it and empirically validating its effectiveness and demonstrating that sparse pre-training data can enable personalised and efficient training. The authors provide an empirically tested foundation for tailoring interventions by mapping users to training modules based on their proficiency, rather than static demographic or personality traits.

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Publication Details

Journal
Information and Computer Security
Published
2026-02-17
DOI
https://doi.org/10.1108/ics-02-2025-0059
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
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article

Phishing for proficiency: evaluating proficiency-based categorisation for personalised phishing training

Lorin Schöni, Zimmermann, Victor Carles, Neele Roch et al.
Information and Computer Security
Spam and Phishing Detection
article

Phishing for proficiency: evaluating proficiency-based categorisation for personalised phishing training

Lorin Schöni, Zimmermann, Victor Carles, Neele Roch, Hannah Sievers, Peter Mayer, Martin Strohmeier
article en

Abstract

Purpose This study aims to investigate the impact of personalised phishing training on users’ phishing detection skills, by adapting training content to users’ phishing proficiency. The authors provide practical recommendations on how phishing training can be improved through personalisation. Design/methodology/approach In two online studies with 96 and 158 participants, the authors assigned participants to one of three groups that received tailored training based on a composite phishing proficiency measure. Findings The training enhanced overall phishing proficiency and reduced disparities between participants, by equalising proficiency across groups, regardless of their initial proficiency. These effects transferred to phishing classification accuracy, which supports the utility of the proficiency-based grouping approach. Originality/value This work advances personalised phishing training by introducing a composite phishing proficiency score, revising it and empirically validating its effectiveness and demonstrating that sparse pre-training data can enable personalised and efficient training. The authors provide an empirically tested foundation for tailoring interventions by mapping users to training modules based on their proficiency, rather than static demographic or personality traits.

Information and Computer Security
University of Southern Denmark (DK), ETH Zurich (CH), American Rock Mechanics Association (US), École Polytechnique Fédérale de Lausanne (CH)
Quality Education
Openalex Percentile: Top 67%
Spam and Phishing Detection
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Phishing for proficiency: evaluating proficiency-based categorisation for personalised phishing training — Lorin Schöni, Zimmermann, et al. · Information and Computer Security (2026) | TGRS Research Map | TGRS