Privacy Policy Detection To Preserve The Confidentiality Of Shared Content In Social Media

Abstract

Social media influences and control people’s lives where people use social media for various purposes, mainly to exchange information to another person. But, Exchanging information through this enhanced and upgraded technology discloses confidential data about oneself. Accidentally shared individual data also leads to privacy violation. In view of these circumstances, essentiality of tools to offer some assistance with controlled access to their privacy settings is evident.To accomplishing this,proposing an Adaptive-Privacy-Policy-Prediction (A3P) framework to offer clients some assistance with composing protection settings for their pictures. It is a two-level system, in this client's accessible history/context on the social media is used todecide the best accessible privacy measures for the client's images and contentused to transferred. The answer depends on a user social contest, classifications and on a strategy forecast calculation to provideaprivacy arrangement for each newly transferring picture as per client’s social elements/information. In this image ranking also provided based on the user/client’s search history.