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

Download Now
Provided by: TELECOM & Management SudParis
Topic: Big Data
Format: PDF
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, loosely coupled 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.
Download Now

Find By Topic