An overview of user privacy preferences modeling and adoption

摘要

Many web and Internet of Things systems are based on user preferences and needs, in order to provide personalization. Such systems introduce privacy challenges due to the dramatic increase of data collection, whereas there is often a trade-off between the user privacy and the usability of the system. In the literature, various approaches have been followed to give users the possibility to define their privacy preferences. In this paper, we present an overview of different languages and techniques used for user privacy preferences modeling in different domains, along with systems that adopt these languages and consider users’ privacy preferences. The approaches are categorized based on a taxonomy extended from a previous work, and their characteristics are compared. This study draws some conclusions on the adoption state of user-centric privacy management, whereas it aims to serve as an outline for further research efforts that are required towards an extensive implementation of privacy mechanisms in web environments, pervasive computing and the Internet of Things.