Method of Determining Trust and Protection of Personal Data in Social Networks
Олександр Анатолійович Лаптєв, Віталій Савченко, Andrii Kotenko, Volodimir Akhramovych, Vladimir Samosyuk, German Shuklin, Anatjliy Biehun · International Journal of Communication Networks and Information Security (IJCNIS) · 2021
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.