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PAIRSE: A Privacy-Preserving Service-Oriented Data Integration System

Djamal Benslimane 1 Mahmoud Barhamgi 1 Frédéric Cuppens 2, 3 Franck Morvan 4 Bruno Defude 5 Ebrahim Nageba 6
1 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
4 IRIT-PYRAMIDE - Optimisation Dynamique de Requêtes Réparties à grande échelle
IRIT - Institut de recherche en informatique de Toulouse
Abstract : Privacy is among the key challenges to data integration in many sectors, including healthcare, e-government, etc. The PAIRSE project aims at providing a flexible, looselycoupled and privacy-preserving data integration system in P2P environments. The project exploits recent Web standards and technologies such as Web services and ontologies to export data from autonomous data providers as reusable services, and proposes the use of service composition as a viable solution to answer data integration needs on the fly. The project proposed new composition algorithms and service/composition execution models that preserve privacy of data manipulated by services and compositions. The proposed integration system was demonstrated at EDBT 2013 and VLDB 2011.
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Submitted on : Friday, March 6, 2015 - 9:58:32 AM
Last modification on : Wednesday, July 8, 2020 - 12:43:32 PM
Document(s) archivé(s) le : Sunday, June 7, 2015 - 5:02:01 PM


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Djamal Benslimane, Mahmoud Barhamgi, Frédéric Cuppens, Franck Morvan, Bruno Defude, et al.. PAIRSE: A Privacy-Preserving Service-Oriented Data Integration System. SIGMOD record, ACM, 2013, vol. 42 (n° 3), pp. 42-47. ⟨10.1145/2536669.2536677⟩. ⟨hal-01124429⟩



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