Secure and Privacy-preserving Execution Model for Data Services

Michaël Mrissa

MichaelMrissa

Short-bio

Michaël Mrissa is associate professor at the IUT Doua (Dept. Computer Science) <http://iut.univ-lyon1.fr/>, University of Lyon in France, and member of the LIRIS Lab. <http://liris.cnrs.fr/>His main research interests are related to data management, service-oriented computing, the semantic Web, Web of Things and related fields.

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.