Photograph sharing is a tempting feature which popularizes online social networks. It might liberate user’s secrecy if users are agreed to post, tag, comment, mention a photo publicly. In this paper we address this problem and learn the case when a user posts a photo having individuals excluding her/him. To stop the security dropout of a photo we plot a system that permit everyone in a photograph be alert about the photo uploading action and join in the judgment of photo uploading activity. To achieve this motive FR system needed which identifies individuals in the photograph. However requesting extra security can restrain the quantity of photos freely accessible to prepare the Face recognition technique. To control such problem proposed system endeavors to utilize user’s personal photos for outline a individualized Face recognition system specifically made for distinct probable photo co-possessor with covering their secrecy. We evolve a distributed consensus system to minimize the computational miscellaneous and defend the personal instructing data.

online Social networks, photo secrecy, FR system, support vector machine, collaborative learning

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