Innovation made mingling with people exceptionally basic and simple. Interfacing with people can be done with just a click of button today. The security of our own data and sharing that data in the advanced world has dependably been a noteworthy test for the always developing informal communities. Concerning the relationship in the midst of individuals and progression, the issue of trust is a factor of debate dependably. This paper endeavor to address this issue and study the situation when a client shares a photograph containing people other than himself or herself (termed co-photograph for short).To forestall conceivable protection spillage of a photograph, outline a component to empower every person in a photograph know about the posting action and partake in the photograph posting. For this reason, we require an effective facial acknowledgment (FR) framework that can perceive everybody in the photograph. Be that as it may, all the more requesting security setting may restrict the quantity of the photographs openly accessible to prepare the FR framework. To manage this issue, our component endeavors to use clients' private photographs to outline a customized FR framework particularly prepared to separate conceivable photograph co-proprietors without releasing their protection. We additionally build up a disseminated agreement based technique to diminish the computational multifaceted nature and secure the private preparing set. We demonstrate that our framework is better than other conceivable methodologies as far as acknowledgment proportion and productivity. Our component is actualized as a proof of idea Android application on Face book's stage.

Keywords: Co-photo; Online social network; Photo sharing; Privacy policy; Facial Recognition System