Secure and privacy-preserving execution model for data services

  • Authors:
  • Mahmoud Barhamgi;Djamal Benslimane;Said Oulmakhzoune;Nora Cuppens-Boulahia;Frederic Cuppens;Michael Mrissa;Hajer Taktak

  • Affiliations:
  • LIRIS Laboratory, Claude Bernard Lyon1 University, Villeurbanne, France;LIRIS Laboratory, Claude Bernard Lyon1 University, Villeurbanne, France;IT/Telecom-Bretagne, Cesson Sevigne, France;IT/Telecom-Bretagne, Cesson Sevigne, France;IT/Telecom-Bretagne, Cesson Sevigne, France;LIRIS Laboratory, Claude Bernard Lyon1 University, Villeurbanne, France;LIRIS Laboratory, Claude Bernard Lyon1 University, Villeurbanne, France

  • Venue:
  • CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
  • Year:
  • 2013

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Abstract

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.