Towards Scalable Management of Privacy Obligations in Enterprises
Privacy management is important for enterprises that collect, store, access and disclose personal data. Among other things, the management of privacy includes dealing with privacy obligations that dictate duties and expectations an enterprise has to comply with, in terms of data retention, deletion, notice requirements, etc. This is still a green area open to research and innovation: it is about enabling privacy-aware information lifecycle management. This paper provides an overview of the work we have done in this space: definition of an obligation management model and a related framework; implementation of a prototype of an obligation management system integrated both in the context of the PRIME project and with an HP identity management solution. This paper then focuses on an important open issue: how to make our approach scalable, in case large amounts of personal data have to be managed. Thanks to our integration work and the feedback we received, we learnt more about how users and enterprises are likely to deal with privacy obligations. We describe these findings and how to leverage them. Specifically, in the final part of this paper we introduce and discuss the concepts of parametric obligation and “hybrid” obligation management and how this can improve the scalability and flexibility of our system. Our work is in progress. Further research and development is going to be done in the context of the PRIME project and an HP Labs project.
KeywordsPersonal Data Scalability Issue Scalable Management Privacy Preference Prime Project
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