Identification of user profiles in online social networks: a combined approach with face recognition

This paper suggests improving the previously existing method of identifying user profiles in different online social networks by adding face recognition results to the model. It is assumed that the method will become more stable for identifying people with the same name, city and age. It will help t...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-05, Vol.1864 (1), p.12119
Main Authors: Oliseenko, V.D., Abramov, M.V.
Format: Article
Language:English
Subjects:
Face recognition
Identification methods
Physics
Social networks
User profiles
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Summary:This paper suggests improving the previously existing method of identifying user profiles in different online social networks by adding face recognition results to the model. It is assumed that the method will become more stable for identifying people with the same name, city and age. It will help to find more user profiles in different online social networks, which will improve the estimation of their personal characteristics. Evaluating user personality traits is one of the key tasks in protecting employees of enterprises and companies from social engineering attacks.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1864/1/012119