Privacy Preserving Data Integration across Autonomous Cloud Services

In this paper, we tackle privacy issues of data sharing services in a cloud environment. We propose a service- oriented privacy-preserving model for data integration across autonomous clouds. Our model allows to execute aggregations of cloud data sharing services without revealing any extra information to any of the involved services. Thus, involved services enforce locally their privacy policies by applying their own access control models and data anonymization algorithms. We illustrate lack of data protection in current data sources through examples of querying data in a healthcare system.