Fine-Grained Trust Assertions for Privacy Management in the Social Semantic Web

Abstract

Social Web applications are engineered around users sharing personal information with their connected peers. They provide generic privacy settings which user specify with whom their information can be shared. However, this does not model the real world where one might trust someone with specific personal data but not with other data. Therefore, trust has to be taken into consideration when applying privacy settings. In our previous work, we modelled fine-grained privacy preferences without asserting trust. In this work, we add trust to our Privacy Preference Framework to provide more fine-grained enforcement of access control when sharing information. This ensures that users' personal information is accessed only by the intended third parties.