Method of Determining Trust and Protection of Personal Data in Social Networks

Authors

  • Oleksandr Laptiev State University of Telecommunication, Kyiv, Ukraine
  • Vitalii Savchenko State University of Telecommunication, Kyiv, Ukraine
  • Andrii Kotenko State University of Telecommunication, Kyiv, Ukraine
  • Volodimir Akhramovych State University of Telecommunication, Kyiv, Ukraine
  • Vladimir Samosyuk State University of Telecommunication, Kyiv, Ukraine
  • German Shuklin State University of Telecommunication, Kyiv, Ukraine
  • Anatjliy Biehun Vadym Hetman Kyiv National University of Economics, Kyiv, Ukraine.

DOI:

https://doi.org/10.17762/ijcnis.v13i1.4882

Abstract

The analysis of parameters of social networks (information transfer to other users, traffic density, probability of network construction) is carried out.  Three variants of solving the equation near the steady state of the system are considered.  The protection of personal data increases from the growing factors of trust in information.Mathematical modeling of the dependence of personal data protection on trust is performed. The results obtained in the article showed that the protection of personal data is directly proportional to the reliability and trust, with constant security parameters.  The protection of personal data increases with the growth of trust parameters.

Author Biographies

Oleksandr Laptiev, State University of Telecommunication, Kyiv, Ukraine

Doctor of Technical Science, Profesor Department of Information and Cybersecurity Systems, Institute of Information Protection State University of Telecommunications, Kyiv, Ukraine.

Vitalii Savchenko, State University of Telecommunication, Kyiv, Ukraine

Doctor of Technical Sciences, Professor, Director of Cybersecurity Institute

Andrii Kotenko, State University of Telecommunication, Kyiv, Ukraine

PHd, Associated Professor Department of Information and Cybersecurity Systems, Institute of Information Protection State University of Telecommunications, Kyiv, Ukraine.

Volodimir Akhramovych, State University of Telecommunication, Kyiv, Ukraine

PHd, Associated Professor Department of Information and Cybersecurity Systems, Institute of Information Protection State University of Telecommunications, Kyiv, Ukraine.

Vladimir Samosyuk, State University of Telecommunication, Kyiv, Ukraine

Graduate studentDepartment of Information and Cybersecurity Systems, Institute of Information Protection State University of Telecommunications, Kyiv, Ukraine.

German Shuklin, State University of Telecommunication, Kyiv, Ukraine

PHd, Associated Professor Department of Information and Cybersecurity Systems, Institute of Information Protection State University of Telecommunications, Kyiv, Ukraine.

Anatjliy Biehun, Vadym Hetman Kyiv National University of Economics, Kyiv, Ukraine.

PhD, Professor, Director of the Institute of Information and Communication Technologies and Systems

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Published

2021-04-10 — Updated on 2022-04-16

Versions

How to Cite

Laptiev, O., Savchenko, V., Kotenko, A., Akhramovych, V., Samosyuk, V., Shuklin, G., & Biehun, A. (2022). Method of Determining Trust and Protection of Personal Data in Social Networks. International Journal of Communication Networks and Information Security (IJCNIS), 13(1). https://doi.org/10.17762/ijcnis.v13i1.4882 (Original work published April 10, 2021)

Issue

Vol. 13 No. 1 (2021)

Section

Research Articles