Considering that privacy is a fundamental right for every individual, in this thesis, we present an approach that increases privacy awareness of the users and maintains the sovereignty of their data when using SNS. The first contribution of this thesis is the classification of multiple types of risks as well as user expectations regarding privacy in SNS. Afterwards, we introduce the Privacy Framework for SNS and the concept of User Privacy Policy (UPP) to offer users an easy and flexible way to specify and communicate their privacy concerns to other users, third parties and SNS provider. Additionally, we define a taxonomy (possibly non-exhaustive) of privacy criteria that can enhance the user privacy if they are integrated within the design of a SNS and introduce the concept of a Privacy-enhanced SNS (PSNS). Furthermore, we present also Privacy Watch, a theoretical proposal of a PSNS platform that combines the concept of provenance and accountability to help SNS users maintain sovereignty over their personal data. Finally, we survey and compare several privacy-enhanced SNS that were recently proposed that try to integrate some privacy features directly into the design of the system. We also classify these different approaches with respect to the privacy criteria developed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.