Enhancing Security Awareness Through Gamified Approaches
<|reference_start|>Enhancing Security Awareness Through Gamified Approaches: With the advent of smart grid (SG) systems, electricity networks have been able to ensure greater efficiency and utility by interconnecting their grids through cloud-based technology. As SGs become increasingly complex, a wide range of security challenges arise, threatening the grid's reliability, safety, efficiency, and stability. The security challenges include the potential exposure of personal data due to hackers intercepting the communications between the SG infrastructure and the smart meters. Security awareness plays a vital role in addressing some of these challenges. However, the traditional training programs are no longer efficient for instilling information security culture in organisations or from an individual user perspective. Gamification is a new concept in the field of information security awareness training (SAT) campaigns that can be introduced to fill in this gap by providing employees with a means of practising and learning about many security flaws and risks that exist within the organisation. Thus, this paper examines the effectiveness of gamification in promoting security awareness among smart meter components for smart grid users/operators. A gaming application is developed as part of the study with the aim of training and evaluating the results through three difficulty levels of questionnaires. Furthermore, the results are evaluated for the three difficulty levels as well as the overall flag captured. It can be demonstrated that the scores of participants in the three levels have improved by 40%, 35% and 29%, respectively. This reflects the awareness of learning within our system.<|reference_end|>
@article{ahmed2024enhancing,
    title={Enhancing Security Awareness Through Gamified Approaches},
    author={Yussuf Ahmed, Micheal Ezealor, Haitham Mahmoud, MohamedAjmal Azad,
  Mohamed BenFarah and Mehdi Yousefi},
    journal={arXiv preprint arXiv:2404.09052},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.09052},
    primaryClass={cs.CR}
}