UDC 37.01:007

Borobov N.A.¹ (Khabarovsk, Russian Federation) – 2020102113@togudv.ru; Zufarova A.S.¹ (Khabarovsk, Russian Federation) – 006694@togudv.ru

¹Pacific State University

Abstract. With cybercriminals using fake accounts to distribute malicious content and carry out cyberattacks on the rise, the use of modern technologies for user protection and training is becoming increasingly important. This article examines the problem of combating cybercrime in the educational environment by developing students’ digital and information literacy. It also substantiates the need to integrate pedagogical and technological solutions aimed at identifying fake accounts on the VKontakte social network. One key method for countering this threat is the use of automated account detection systems. Automated systems analyze account behavior patterns and identify suspicious signs. They rely on various algorithms and methodologies. This article discusses the implementation of an automated online training platform for identifying fake accounts on the VKontakte social network/messenger using OSINT. The paper provides basic information about the product, its operating mechanisms, and the advantages of this solution. The results of a social survey are also presented. This article examines the pressing issue of developing digital and information literacy among students as an important aspect of countering modern forms of cybercrime. It explores methods and approaches used in the educational process to improve students’ digital literacy, with particular attention paid to the automated detection of fake accounts on the popular Russian social network VKontakte. It demonstrates that an integrated teaching methodology, combining classical pedagogical techniques and modern digital technologies, helps prepare the younger generation for safe interaction in the virtual space and reduces the risk of involvement in illegal activities.

Keywords: Fake accounts, VKontakte, training, social network, information security, online platforms.

References:

1. Krasovskaya, N. R., & Gulyaev, A. A. (2021). On the issue of controlling fakes, deepfakes, and fake accounts on the Internet. Bulletin of Udmurt University. Sociology. Political Science. International Relations, 5(1), 96–99. (In Russian). https://www.elibrary.ru/twzysv
2. Safarov, F. G. (2024). Algorithms for finding fake accounts in social networks using neural networks. Science and Innovation. Series of Geological and Technical Sciences, 4, 78–86. (In Russian). https://www.elibrary.ru/wvhfhw 
3. Zufarova, A. S., & Kosheleva, A. D. (2025). Employee training as a key factor in protecting against cyber threats: Modern challenges and solutions. CITISE, 1, 124–138. (In Russian). https://www.elibrary.ru/pwbawh
4. Bocharov, M. I., & Simonova, I. V. (2014). Methods of teaching information security to high school students: On the content of information security training in the school computer science course. Space and Time, 3, 300–307. (In Russian). https://www.elibrary.ru/stqzab
5. Efimov, S. A., & Pronkin, N. N. (2024). The role of employees in ensuring information security: Approaches to raising awareness. International Journal of Professional Science, 6-2, 40–47.
6. Zakharova, A. A. (2022). Personnel training methods in an organization. Alley of Science, 1(3), 114–120. (In Russian). https://www.elibrary.ru/fgwhyv
7. Nechipurovsky, D. I. (2024). How to build a multi‑level defense to combat advanced phishing threats. Scientific Aspect, 41(4), 5337–5342. (In Russian). https://www.elibrary.ru/jdtfvy
8. Yakovleva, M. A. (2021). Leadership in the mentoring system as an effective tool for personnel adaptation. Human Progress, 7(1). (In Russian). https://www.elibrary.ru/mfmyrr
9. Chenushkina, S. V., & Shmakova, L. E. (2023). The role of visualization in the formation of competence in the field of cybersecurity. The World of Science, Culture, Education, 6, 229–233. (In Russian). https://www.elibrary.ru/wshgmi
10. Kolomeets, M. V., & Chechulin, A. A. (2023). Metrics of malicious social bots. Proceedings of Educational Institutions of Communication, 9(1), 94–104. (In Russian). https://www.elibrary.ru/hefhfr
11. Kolomeets, M. V., & Chechulin, A. A. (2024). Approach to detecting malicious bots in the VKontakte social network and assessing their parameters. Proceedings of Educational Institutions of Communication, 10(2), 92–101. (In Russian). https://www.elibrary.ru/hefhfr
12. Shaykova, M. V. (2024). Protecting minors online and offline: The cyberbullying dilemma. Victimology, 11(2), 267–277. (In Russian). https://www.elibrary.ru/xketur
13. Dukal’skaya, I. V., & Tretyakov, E. Yu. (2022). Information security platforms as a basis for experimental learning. Questions of pedagogy, 3-2, 233–236. (In Russian). https://www.elibrary.ru/eefczs
14. Madyarova, G. A. (2023). Features of information security training based on the use of digital technologies. Bulletin of the Kazakh National Pedagogical University named after Abai. Series: Physical and Mathematical Sciences, 80(4). (In Russian). https://www.elibrary.ru/nljfgb
15. Sinev, S. G. (2024). On improving training in educational programs in the field of information security. Applied Physics and Mathematics, 12, 60–68. (In Russian). https://www.elibrary.ru/psxusq

For citation: Borobov, N. A., & Zufarova, A. S. (2026). Formation of information literacy of students as a factor in countering cybercrime based on automated detection of fake accounts on the social network VKontakte. CITISE, 1, 740–755. (In Russian).