Secure and Privacy-Preserving Execution Model for Data Services

نویسندگان

  • Mahmoud Barhamgi
  • Djamal Benslimane
  • Said Oulmakhzoune
  • Nora Cuppens-Boulahia
  • Frédéric Cuppens
  • Michael Mrissa
  • Hajer Taktak
چکیده

Data services have almost become a standard way for data publishing and sharing on top of the Web. In this paper, we present a secure and privacy-preserving execution model for data services. Our model controls the information returned during service execution based on the identity of the data consumer and the purpose of the invocation. We implemented and evaluated the proposed model in the healthcare application domain. The obtained results are promising.

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تاریخ انتشار 2013