Personalized Privacy Protection in Social Networks
Due to the popularity of social networks, many proposals have been proposed to protect the privacy of the networks. All these works assume that the attacks use the same background knowledge. However, in practice, different users have different privacy protect requirements. Thus, assuming the attacks with the same background knowledge do not meet the personalized privacy requirements, meanwhile, it loses the chance to achieve better utility by taking advantage of differences of users' privacy requirements. In this paper, the authors introduce a framework which provides privacy preserving services based on the user's personal privacy requests.