Protection des données personnelles lors de la composition des services DaaS pour Mashup

Salah-Eddine Tbahriti 1 Mahmoud Barhamgi 1 Benharkat Aïcha-Nabila 1 Chirine Ghedira 1 Djamal Benslimane 1 Michael Mrissa 1
1 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Résumé : Data Mashup is a special class of mashup application that combines data on the fly from multiple data sources to respond to transient business needs. Data mashup is a difficult task that would require an important programming skill on the side of mashups’ creators, and involves handling many challenging privacy and security concerns raised by data providers. This situation prevents non-expert users from mashing up data at large. In this paper, we present a declarative approach for mashing-up data. The approach allows data mashup creators to build data mashups without any programming involved. The approach builds the mashups automatically and takes into account the data’s privacy concerns. We evaluate the efficiency of the approach via a thorough set of experiments. The results show that handling data privacy introduces only a negligible cost in the mashup building time.
Document type :
Conference papers
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01354511
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Thursday, August 18, 2016 - 7:30:44 PM
Last modification on : Friday, April 26, 2019 - 11:16:01 PM

Identifiers

  • HAL Id : hal-01354511, version 1

Citation

Salah-Eddine Tbahriti, Mahmoud Barhamgi, Benharkat Aïcha-Nabila, Chirine Ghedira, Djamal Benslimane, et al.. Protection des données personnelles lors de la composition des services DaaS pour Mashup. 27èmes journées Bases de Données Avancées (BDA), Oct 2011, Rabat, Maroc. ⟨hal-01354511⟩

Share

Metrics

Record views

105