Publication Date
8-25-2025
Abstract
The research investigates gamification methods as it applies to the emerging interdisciplinary domain that brings together cybersecurity with neuroscience and psychology. Neurocybersecurity implements neural concepts to protect digital systems from security threats while targeting the human vulnerabilities that present as the strongest points of attack. Several researchers have examined gamification techniques which incorporate game design elements to enhance cybersecurity training outcomes by improving user participation and knowledge retention and user conduct compliance. The research incorporates Self-Determination Theory along with Cognitive Load Theory to explain the design principles for efficient gamified interventions. The implementation of both cognitive performance improvement and neuroplasticity enhancement along with decision capability retainment under high-pressure circumstances results from real-time feedback and simulation-based training methods. The implementation of gamification presents continued obstacles including data privacy ethics problems and cognitive overload together with declining participant motivation during extended periods of use. Research curated in this article brings together scholarly works spanning 2020 to 2024 while presenting theoretical frameworks alongside an evaluation of adaptive gamification's scope regarding different population groups. The author recommends future cybersecurity research must integrate AI personalization techniques with virtual reality and augmented reality technologies to maximize neurocybersecurity training results. Gamification shows promise for addressing human-related security weaknesses based on this analysis which provides guidance for integrated research development in the future.
Included in
Cognitive Science Commons, Information Security Commons, Technology and Innovation Commons