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More Than Meets the Eye - An Anti-Phishing Learning Game with a Focus on Phishing Emails

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Games and Learning Alliance (GALA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13647))

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Abstract

Phishing is a constant threat to the online security of end-users. Since technical measures currently fall short of preventing phishing attacks completely, educating end-users is an important factor in reducing the risk of successful attacks. Here, game-based learning has emerged as a scalable, motivational educational approach. While learning games that focus on phishing emails have been created in the past, they mainly include simple game mechanics, which do not map to the complex decisions that are involved in recognizing malicious emails. To this end, we present a novel anti-phishing learning game, consisting of two different game modes: Either, players have to create phishing emails from given templates themselves, or they have to analyze emails for malicious cues and mark relevant parts. The game is designed for a broad target group of adult users with little to no prior knowledge about phishing. To facilitate immersion, the game content is generated automatically and allows for personalization. This paper presents the design, implementation, and a preliminary usability evaluation of the game.

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Notes

  1. 1.

    https://gitlab.com/learntech-rwth/erbse/email-game, accessed 21.09.2022.

  2. 2.

    https://mtlg-framework.gitlab.io/, accessed 22.09.2022.

  3. 3.

    https://xapi.com/, accessed 22.06.2022.

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Acknowledgments

This research was supported by the research training group “Human Centered Systems Security” (North Rhine-Westphalia, Germany).

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Correspondence to Rene Roepke .

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Roepke, R., Drury, V., Peess, P., Johnen, T., Meyer, U., Schroeder, U. (2022). More Than Meets the Eye - An Anti-Phishing Learning Game with a Focus on Phishing Emails. In: Kiili, K., Antti, K., de Rosa, F., Dindar, M., Kickmeier-Rust, M., Bellotti, F. (eds) Games and Learning Alliance. GALA 2022. Lecture Notes in Computer Science, vol 13647. Springer, Cham. https://doi.org/10.1007/978-3-031-22124-8_12

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  • DOI: https://doi.org/10.1007/978-3-031-22124-8_12

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