MODELING THE PROTECTION OF PERSONAL DATA FROM TRUST AND THE AMOUNT OF INFORMATION ON SOCIAL NETWORKS

MODELING THE PROTECTION OF PERSONAL DATA FROM TRUST AND THE AMOUNT OF INFORMATION ON SOCIAL NETWORKS

The article analyzes the parameters of social networks. The analysis is performed to identify critical threats. Threats may lead to leakage or damage to personal data. The complexity of this issue lies in the ever-increasing volume of data. Analysts note that the main causes of incidents in Internet...

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Bibliographic Details
Main Authors: Serhii Yevseiev, Oleksandr Laptiev, Sergii Lazarenko, Anna Korchenko, Iryna Manzhul
Format: Article
Language:English
Published: Scientific Route OÜ 2021-01-01
Series:EUREKA: Physics and Engineering
Subjects:
social network
transfer
protection
user
parameter
information
metric
density
cycle
Online Access:http://journal.eu-jr.eu/engineering/article/view/1615

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