Friends-Oriented Privacy Reputation Score

The Friends-Oriented Reputation Privacy Score (FORPS) system provides a smart and simple way to help end-users managing their privacy in a social network. It aims to prevent a non-desirable propagation of personal sensitive data. FORPS built privacy sensitive profile by understanding what are the category of themes, the category of objects and the behavioral factors that are important to social network users. FORPS takes fully advantage of knowledge retrieved on social networks, in particular via user friends. More precisely, our approach consists in making a deep analysis of the behavior of somebody (e.g., a person asking to become a friend) who would like to get in touch with a user in order to estimate the risk of potential violation of his privacy information. be aware of the real "dangers" with regard to their privacy protection, and will as a consequence increase their trust in social networks integrating such an approach. The paper is organized as follows. The section 2 presents the related work in the state of the art. In the section 3, we expose the global architecture of the system `Friends Oriented Privacy Reputation Score' (FORPS). The section details the 4 steps of the FORPS's process. The session 5 shows a possible implementation of FORPS as a Facebook application. In section 6 we discuss the limits, the perspectives and futures works.