Privacy Policy Multiparty Access Control On Content Sharing Sites

ONLINE social networks (OSNs) such as Facebook, are inherently designed to enable people to share own and public information and kind social connections with friends, co-workers, colleagues, family, and even with strangers. In recent years, we have seen unique growth in the application of OSNs.  OSNs provide built-in mechanisms allowing users to interconnect and part fillings with other members. Social network users can post statuses and notes, upload photos and videos in their own spaces, tag others to their fillings, and share the contents with their friends. On the other hand, users can also post contents in their friend’s spaces. The shared contents may be connected with multiple users. Content sharing images within online content sharing sites, may quickly lead to unwanted disclosure and privacy violations. Further, the obstinate nature of online media brands it possible for other users to collect rich aggregated information about the owner of the published content and the subjects in content. An Adaptive Privacy Policy Prediction (A3P) system provides the users to experience the hassle free privacy settings by using the automatic generated personalized policies. It is key to find the matching point between the impact of social environment and users individual characteristics in order to forecast the policies that contest each individual needs.