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Policy-based usage control for trustworthy data sharing in smart cities

Abstract : In smart cities, Information and Communication Technologies, in particular Internet of Things (IoT) Technologies, are integrated into traditional services of our city, for example waste management, air pollution monitoring, and parking to improve quality while reducing costs of these services. IoT data in this context are generated by different actors, such as service providers, developers, and municipal authorities. These data should be shared among applications or services. However, in traditional scenario, there is no sharing of IoT data between them. Each actor consumes data from sensors deployed on behalf of that actor, and network infrastructure maybe shared. In order to encourage IoT data sharing, we need to establish the confidence between the actors. Exercising control over the usage of data by other actors is critical in building trust. Thus, the actors should have an ability to exercise control on how their data are going to be used. This major issue have not been treated in IoT namely Usage Control. In this thesis, we take into account obligations defined by the actors for their data (i) Abstraction of certain information, (ii) Spatial and temporal granularity, (iii) Classification of actors and purposes, and (iv) Monetization of data. For example, requirements of data usage in Intelligent parking applications are (i) Data owners have full access to all the details, (ii) Municipal authorities can access the average occupancy of parking place per street on an hourly basis, (iii) Commercial service providers can access only statistical data over a zone and a weekly basis, and (iv) Monetization of data can be based on subscription types or users roles. Thesis contributions include: (i) Policy-based Data Usage Control Model (DUPO) responds to the obligations defined by actors to their data. (ii) Trustworthy Data Sharing Platform as a Service allows transparency and traceability of data usage with open APIs based on the DUPO and Semantic technologies. (iii) Visualization Tool Prototype enables actors to exercise control on how their data will be used. (iv) Evaluation of the performance and the impact of our solution. The results show that the performance of the added trust is not affecting of the system. Mistrust might hamper public acceptance of IoT data sharing in smart cities. Our solution is key which will establish the trust between data owners and consumers by taking into account the obligations of the data owners. It is useful for data operators who would like to provide an open data platform with efficient enablers to partners, data-based services to clients, and ability to attract partners to share data on their platforms
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Submitted on : Wednesday, September 27, 2017 - 10:28:59 AM
Last modification on : Monday, August 24, 2020 - 4:16:05 PM
Long-term archiving on: : Thursday, December 28, 2017 - 12:39:47 PM


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  • HAL Id : tel-01596001, version 1


Quyet Cao Huu. Policy-based usage control for trustworthy data sharing in smart cities. Networking and Internet Architecture [cs.NI]. Institut National des Télécommunications, 2017. English. ⟨NNT : 2017TELE0010⟩. ⟨tel-01596001⟩



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