학술논문

Privacy Preserving Data Integration across Autonomous Cloud Services
Document Type
Conference
Source
2015 IEEE 8th International Conference on Cloud Computing Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on. :1099-1102 Jun, 2015
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
General Topics for Engineers
Silicon
Human immunodeficiency virus
Data models
Data integration
Engines
Data privacy
Cryptography
Privacy
Data Integration
Services
Cloud
Language
ISSN
2159-6182
2159-6190
Abstract
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.