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

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 grow...

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Bibliographic Details
Published in:International journal of communication networks and information security 2021-04, Vol.13 (1), p.15-21
Main Authors: Laptiev, O, Savchenko, V, Kotenko, A, Akhramovych, V, Samosyuk, V, Shuklin, G, Biehun, A
Format: Article
Language:English
Subjects:
Information transfer
Parameters
Personal information
Security management
Social networks
Software
Traffic information
Traffic volume
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Summary: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.
ISSN:2073-607X
2076-0930