Policy-based Usage Control for Trustworthy Data Sharing in Smart Cities

Quyet H. Cao & Giyyarpuram Madhusudan

Orange Labs, Meylan, France

Thursday 16th June 2016, 14h

Amphithéatre F107, Inria Grenoble Rhône-Alpes, Montbonnot

Abstract

Data in smart cities is commonly generated by a large variety of participants. This data should be shared among applications or services. However, in traditional smart city scenarios, there is no sharing of IoT data. Usually, each participant consumes data from sensors deployed on behalf of that participant. To encourage IoT data sharing, we need to establish trusted relationships among participants, as the absence of trust will affect the acceptance of sharing data in smart cities. Participants would likely share their data more readily when they have the ability to control the use of their data. To deal with these issues of trust and control, we concentrate on usage control, i.e., how data is used when access to it has been granted. We propose a Data Usage Policy Model (DUPO) to capture the diversity of obligations and constraints that data owners impose on the use of their data and illustrate a trustworthy data sharing framework which enhances the transparency and accountability of data usage in smart cities. The proof-of-concept is developed based on a case study of intelligent parking to evaluate the performance of our solution.


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