Open AccessSCIENTIFIC WAY TO IDENTIFY DUPLICATE PROFILE IN SOCIAL NETWORKING WEBSITES
Author(s) -
Pankaj Pankaj
Publication year - 2016
Publication title -
ijo-science
Language(s) - English
Resource type - Journals
ISSN - 2455-0108
DOI - 10.24113/ijoscience.v2i2.80
Subject(s) - social network (sociolinguistics) , internet privacy , computer science , world wide web , similarity (geometry) , social media , data science , computer security , artificial intelligence , image (mathematics)
In present scenario an Individual user will have multiple social network accounts to stay involved with friends in several social networking sites. Online social network users aren’t attentive to the varied security attacks like privacy violation, fraud, etc. Different on-line social users can assume it as real users and that they could be capable them that aren’t truly the real user.It is estimated 1.96 billion user are active on social networking sites. Only Facebook have 1.87 billion active user in a month.. During this research paper, I had tried to analyze social network knowledge supported attributes similarity. The planned system will cite as several similar social network profiles as a potential and analyze them so as to seek out whether or not it belongs to same or totally different persons. It makes different user straightforward to speak with one another during a safe and secure manner.