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<p>The last years have been characterized by a worrying increase in cyber attacks and the lack of practical expertise in cybersecurity. Different cybersecurity simulators are emerging to promote hands-on cybersecurity training. However, these simulators often neglect learning analytics and gamification aspects that improve learning outcomes. This paper proposes a novel multimodal and adaptive gamification system that can be incorporated into cybersecurity simulators, and we exemplify its use via integration within a Cyber Range platform. This gamification system incorporates comprehensive learning analytics, including cybersecurity competencies and soft skills, such as stress management through Artificial Intelligence (AI) and biometric signals. Besides, the proposal contains an adaptive module to adjust the simulations to the student’s needs and game-based elements to promote the users’ motivation. Despite this innovative system could be applied to different simulators and contexts, it is specially designed to enhance the effectiveness of cybersecurity training for a safe cyberspace.</p>

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A multimodal and adaptive gamified system to improve cybersecurity competence training

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月30日

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  • Mariano Albaladejo-González,
  • Pantaleone Nespoli,
  • Félix Gómez Mármol,
  • José A. Ruipérez-Valiente

摘要

The last years have been characterized by a worrying increase in cyber attacks and the lack of practical expertise in cybersecurity. Different cybersecurity simulators are emerging to promote hands-on cybersecurity training. However, these simulators often neglect learning analytics and gamification aspects that improve learning outcomes. This paper proposes a novel multimodal and adaptive gamification system that can be incorporated into cybersecurity simulators, and we exemplify its use via integration within a Cyber Range platform. This gamification system incorporates comprehensive learning analytics, including cybersecurity competencies and soft skills, such as stress management through Artificial Intelligence (AI) and biometric signals. Besides, the proposal contains an adaptive module to adjust the simulations to the student’s needs and game-based elements to promote the users’ motivation. Despite this innovative system could be applied to different simulators and contexts, it is specially designed to enhance the effectiveness of cybersecurity training for a safe cyberspace.