Paper Title
Privacy Preserved Social Network With Security

Abstract
One of the most important terms we hear on these days will be the social networks. Everyone will be a member of any of those social networking sites. These websites gain huge profit just by providing a platform for others to communicate. So far we have seen both merits and demerits of online social networking sites. They collect huge personal data and we take risk of trusting them. It is easy to collect these data by using learning algorithms to predict more private data. This paper explains the possibility of various inference attacks by these private data. These attacks can be minimized by sanitization methods put forwarded in this paper. This paper also comes with the security features which are essential for a online social networking site. Keywords- Inference attacks, Privacy, Online social networks, Security.