A Collaborative Multi-Party Privacy Conflicts Framework used In Social Network Platform

Photo sharing is an attractive component, which make social networking more popular. Sadly, it may leak user’s security on off chance they granted to post, remark, label a photograph openly. We identify the problem and learn situation when user share photo-containing users of other than himself or herself. To ensure high security of photograph, we make a system that assure security of photograph post by every person at our system and self-determination on choice making of photograph sharing. For this, a proficient face recognition framework embedded in the system that can recognize every person in the photo. Not with standing, even more requesting security setting may restrain the photograph quality freely access to face recognition framework. The face of each individual user in photograph get extracted without destroying the image quality and facial structure of each user in image and verification of each extracted templates is done by users templates store in database . We also saw shared text post, which may sometime contain some unwanted word that is not acceptable by society. Therefore, to solve this issue we only allow the post, which contain the word that will not hurt users on social site. so for that we implement the text analysis feature that will analyze each post of different user and after verify it allow it display on social site. This media post on social site will be remain there for particular time set which user will decide.