Survey on Privacy Preserving in Social Networks

The development of online social networks and the release of data network resulting in the risk of leakage of personal confidential information. This requires privacy protection before the data network is published by the service provider. Data privacy online social networks are important in recent years. Therefore, this research is still in its infancy. This article describes the generalization techniques of anonymous social networking data with sufficient privacy for harsh environments while preserving the validity of the data. The loss metric information, iloss, is used to check the information due to the loss of the generalized amount. While these networks make frequent data sharing and intercommunication between users can instantly and privacy problems that may arise are very explicable with their obvious immediate consequences. Although the concept of privacy can take different forms, the ultimate challenge is how to prevent the invasion of privacy when personal information is available. Basic social networks, co-statements, and their associated primary motivations. The following describes how to protect privacy, relying on technical analysis and link social networks to disclose sensitive user information.