Testing of increasing resistance to attacks when interacting with participants of network gamified educational projects on information security

Бесплатный доступ

Statement of the problem. The article deals with issues related to secure interaction within a gamified educational environment, in particular in the field of game cases used for information security training. Various approaches to collecting the digital footprint of social engineering attacks and ways to increase resistance to attacks in the field of social engineering based on the analysis of the digital footprint are presented. Estimates and algorithms of actions that increase the resistance to these attacks of participants in network gamified projects are also shown, and their approbation is described. The purpose of the article is to search for an approach to improving secure interaction in gamified network educational projects. The research methodology consists of the analysis of current gaming practices in the framework of information security training; the study of the results of interdisciplinary research by Russian and foreign scientists on the use of gamification in various training tasks, game environments and solutions, and their evaluation. Research results. Author’s recommendations for increasing the resistance of participants in network gamified educational projects to social engineering attacks are developed, algorithms and procedures for performing this task are shown, and their approbation is described. Conclusion. According to the results of the assessment given in the article, the possibility of using the digital footprint collection to improve the security of the implementation of the interaction of participants in network gamified projects is shown. The author’s recommendations considered in the article can be applied during the training of masters in the field of specialization: 10.04.01 Information security (full-time education).

Еще

Training, information security, serious games, gamification, phishing, social network, digital trace

Короткий адрес: https://sciup.org/144161944

IDR: 144161944   |   DOI: 10.25146/1995-0861-2021-57-3-290

Статья научная