North Dakota State University
Privacy protection is a vital issue for safe social interactions within Social Networking Sites (SNS). Although SNSs such as MySpace and Facebook allow users to configure their privacy settings, it is not a simple task for normal users with hundreds of online friends. In this paper, the authors propose an intelligent semantics-based privacy configuration system, named SPAC, to automatically recommend privacy settings for SNS users. SPAC learns users' privacy configuration patterns and make predictions by utilizing machine learning techniques on users' profiles and privacy setting history.