Privacy Management for Smart Cities

Smart cities aim to provide intelligent services to their users through the use of connected entities. Internet of Things is emerging as the backbone to facilitate these services. At the same time, the communication of these entities is making privacy to be violated much easier than before. Many times, it is not clear which entities have access to which information, for which purposes the access is being granted, and so on. A leading approach to manage privacy on the Web is the use of privacy policies. However, since the information that would need to go into a privacy policy is usually not available up front for loT, privacy policies are difficult to apply. Accordingly, this paper proposes a new computational model for the well-known contextual integrity theory for IoT. The proposed model enables IoT entities to reason about the context they are in based on information they gather from different entities in the system using argumentation. The model takes into account that information from different sources will have varying degrees of trustworthiness and that each entity has a different degree of belief in the information it provides.