AI in Cybersecurity Serious Games and Training Platforms: A Systematic Review with an Illustrative AI-Based Reverse Turing Game

Metin, Bilgin, Avci, Tuncay, Yesilkayali, Atakan, Karaca, Hikmet Sami, Dündar, Ali Nehir and Wynn, Martin G ORCID logoORCID: https://orcid.org/0000-0001-7619-6079 (2026) AI in Cybersecurity Serious Games and Training Platforms: A Systematic Review with an Illustrative AI-Based Reverse Turing Game. Artificial Intelligence and Applications. pp. 1-24. doi:10.47852/bonviewAIA62027173 (In Press)

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14679 Metin, B et al (2026) AI in Cybersecurity Serious Games and Training Platforms_ A Systematic Review with an Illustrative AI-Based Reverse Turing Game.pdf - Published Version
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Abstract

The use of artificial intelligence (AI) in cybersecurity serious games and training platforms is an innovative approach, which enhances the effectiveness of security training by improving the development of practical skills. Numerous studies have focused on the potential of AI-enhanced serious games, highlighting the flexibility and adaptability of this form of education in the cybersecurity domain. The overall aim of this study is to map out the AI technology landscape relevant to cybersecurity games and assess relevant theory and pedagogical frameworks. First, a systematic review of publications from 2019 to 2025 is performed to identify the primary AI techniques and technologies adopted in cybersecurity and to find those relevant to serious games and training platforms. Then, the factors that contribute to their success and the barriers that affect their implementation in game-based environments are analyzed, together with the theoretical frameworks and pedagogical models that support the design of AI-enhanced training platforms. As an illustrative example of these results, an AI-based reverse Turing game is presented. The article will be of interest to those who design cybersecurity games and also to educators who are trying to create training formats that are effective in responding to the fast-changing cybersecurity environment.

Item Type: Article
Article Type: Article
Uncontrolled Keywords: Artificial intelligence; Cybersecurity serious games; Training platforms; Reverse Turing test; Turing test
Related URLs:
Subjects: Q Science > Q Science (General) > Q336 Artificial intelligence
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software > QA76.76 Computer software topics A-Z > QA76.76.C672 Computer game programming
Divisions: Schools and Research Institutes > School of Business, Computing and Social Sciences
Depositing User: Martin Wynn
Date Deposited: 01 Sep 2026 21:32
Last Modified: 02 Sep 2026 08:00
URI: https://eprints.glos.ac.uk/id/eprint/16479

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