Privacy Preservation of Images and Comments in Online Social Networks

Abstract

The current privacy controls on social networks are far from adequate, resulting in inappropriate flows of information when users fail to understand their privacy settings or OSNs fail to implement policies correctly. Social networks may be complicated because of privacy expectations when they reserve the right to analyze uploaded photos using automated watermarking technique. A user who uploads digital data such as image to their home page may wish to share it with only mutual friends, which OSNs partially satisfy with privacy settings. This paper, we concentrate to solve the privacy violation problem occurred when images are published on the online social networks without the permission. According to such images are always shared after uploading process. Therefore, the digital image watermarking based on DWT co-efficient. Watermark bits are embedded in uploaded images. Watermarked images are shared in user home page. So images can be difficult to misuse by other persons. This paper provides protection approach to design the flexible policies for uploaded data. And also extend the work to implement information filtering approach to be used to give users the ability to automatically monitor the messages written on their own walls, by filtering out unwanted messages and comments about images. This concept can be implemented in real time for sending mobile intimation at the time of user in offline mode about negative comments. So user can easily guard the system from privacy violations.