FAKE USER PROFILE DETECTION ON ONLINE SOCIAL NETWORKING.

Abstract

Online Social Networking (OSN) service is a platform for all the users to share their information worldwide.
The information can be in a form of images, audio, video, etc. User can share their personal data onto the social media.
Many web sites provide a platform to connect the people through OSN media. OSN became extremely large and
increasing day by day. Few websites allow user to create profile on their site and they can communicate with any
random person. As user increases the security becomes a major constraint. Every user became aware about security
issue as user shares his personal information on social media. A lot of fake users may capture this information and use it
for the wrong purpose. There are thousands of fake profiles over social networks. Very little research has been done in
detecting fake users over the social media. The research focuses on different components to detect the fake users. The
components like login time-logout time, session, location, information uploading pattern etc.
By getting the references from the above components we are developing the site which is able to detect the fake users.