A Privacy-enhanced Usage Control Model
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Recently we have observed a growing demand for secure technologies for e-commerce that do not put customers at risk of identity theft. We have also experienced the advent of Web 2.0 which has led to new business models and which has changed the way users interact with the Web. This thesis proposes a set of strategies and enhancements towards providing improved security and privacy in such new settings. We introduce a novel concept: Fair Rights Management (FRM). It can be classified as a usage control solution. FRM enables a flexible way of managing digital content. There was a need to provide additional security extensions to keep such a flexible model applicable. Thus, in our approach we take advantage of trust obtained from social networks. This is also the reason why we created an efficient zero-knowledge proof protocol that is lightweight enough to be deployed within existing web-applications. The proposed protocol is also successfully integrated with Semantic Web architecture and associated components. It enables practical Web and mobile applications which employ trust-based transactions as part of their workflow. This core contribution overcomes various disadvantages of prior art and enables a range of new applications and potentially new business models. We show that compared to existing Usage Control Models (UCON) (i) FRM is a step towards fair use in the digital world and we also argue that our approach is enforced by law; (ii) the participants of the proposed solution do not put their privacy at risk. Our research shows that existing infrastructure is sufficient to support ZKP-based solutions; and thus, it is feasible to offer the users enhanced privacy within existing deployed solutions.