PrivComp: A Privacy-aware Data Service Composition System (Demo)
Autor: | Barhamgi, Mahmoud, Benslimane, Djamal, Youssef, AMGHAR |
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Přispěvatelé: | Service Oriented Computing (SOC), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), SI LIRIS, Équipe gestionnaire des publications |
Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: | |
Zdroj: | EDBT (International Conference on Extending Database Technology) EDBT (International Conference on Extending Database Technology), Mar 2013, Italy, Italy. pp.757-760 |
Popis: | International audience; In this demo paper, we propose a novel privacy-preservingdata service composition scheme and an implementationthereof. Our composition system allows to execute queriesover multiple data services without revealing any extra informationto any of the involved services (i.e., none of involvedservices (and their providers) should be able to learn/infer anyinformation about the data the other services provide beyondwhat is permitted). Our system is not intrusive, it assumesthe services to implement locally their privacy policies beforeintegrating their data. The system allows also to quantify thequalities of returned results relative to user’s constraints. |
Databáze: | OpenAIRE |
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