Efficient and contorlled sharing of privacy data in social networks

Abstract

Online social networks(OSNs) become a successful portal for millions of Internet users. These OSNs offer attractive means for social interactions and information sharing, but also raise a number issues in security and privacy. While OSNs allow users to restrict access to shared data, they do not currently provide any mechanism to enforce the privacy over data associated with multiple users. To share the private content and data our analysis presents an approach to enable the protection of shared data associated with multiple users in online social networks. We formulate an access control model to capture the essence of multiparty authorization requirements along with a multiparty policy specification scheme and enforcement mechanism. Our access control model allows us to overcome the disadvantages of existing system and perform various analysis tasks on privacy data sharing and selection strategies using the multiparty access control Framework (MACF).