Identification of Fake Accounts For Making Trust on Network Using Machine Learning
Nirmala B1, S.P.Chokkalingam2
1Nirmala B, Assistant Professor, Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai (Tamil Nadu), India.
2S.P.Chokkalingam, Professor, Saveetha School of Engineering, Saveetha Institute of Technology of Sciences and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 20 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 796-800 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B11480782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1148.82S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Social Networks, Machine Learning, Legitimate Users.
Scope of the Article: Machine Learning