
Identification of Fake Accounts for Making Trust on Network using Machine Learning
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1148.82s319
Subject(s) - reputation , friendship , identification (biology) , internet privacy , social network (sociolinguistics) , computer science , social trust , social media , world wide web , computer security , psychology , social psychology , sociology , social capital , social science , botany , biology
Social Networks are gradually influencing the people to communicate with each other and share the personal, public related information. Different social networks have different target people. In particular Facebook used to establish the friendship, LinkedIn to find new Job, these Rabid growth of social networks, people tend to misuse the social networks to spoil others reputation or to steal the others information’s. Fake profiles are dangerous in social networks platform. It is essential to identify the fake users from social networks. This work presents the novel approach to predict and differentiate the fake user and legitimate user from social networks by using Machine Learning algorithm and we achieved significant results.