Open AccessIdentification of user profiles in online social networks: a combined approach with face recognition
Author(s) -
Valerii D. Oliseenko,
Maxim V. Abramov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1864/1/012119
Subject(s) - identification (biology) , face (sociological concept) , computer science , key (lock) , personality , social network (sociolinguistics) , internet privacy , artificial intelligence , human–computer interaction , world wide web , social media , computer security , psychology , social psychology , sociology , social science , botany , biology
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.