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Privacy-Enhanced Web Service Composition
April-June 2014 (vol. 7 no. 2)
pp. 210-222
Salah-Eddine Tbahriti, LIRIS Laboratory, University of Claude Bernard Lyon 1, Villeurbanne, France
Chirine Ghedira, IAE-University Jean Moulin, Lyon, France
Brahim Medjahed, Department of Computer and Information Science, University of Michigan Dearborn, MI, USA
Michael Mrissa, LIRIS Laboratory, University of Claude Bernard Lyon 1, Villeurbanne, France
Data as a Service (DaaS) builds on service-oriented technologies to enable fast access to data resources on the Web. However, this paradigm raises several new privacy concerns that traditional privacy models do not handle. In addition, DaaS composition may reveal privacy-sensitive information. In this paper, we propose a formal privacy model in order to extend DaaS descriptions with privacy capabilities. The privacy model allows a service to define a privacy policy and a set of privacy requirements. We also propose a privacy-preserving DaaS composition approach allowing to verify the compatibility between privacy requirements and policies in DaaS composition. We propose a negotiation mechanism that makes it possible to dynamically reconcile the privacy capabilities of services when incompatibilities arise in a composition. We validate the applicability of our proposal through a prototype implementation and a set of experiments.
Index Terms:
Privacy,Data privacy,Government,Web services,Phase change materials,DNA,Data models,negotiation,Service composition,DaaS services,privacy
Salah-Eddine Tbahriti, Chirine Ghedira, Brahim Medjahed, Michael Mrissa, "Privacy-Enhanced Web Service Composition," IEEE Transactions on Services Computing, vol. 7, no. 2, pp. 210-222, April-June 2014, doi:10.1109/TSC.2013.18
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