2011 | OriginalPaper | Buchkapitel
A Flexible Cost-Based Privacy-Aware Data Integration System in Cloud
verfasst von : Yuan Tian, Biao Song, Eui-Nam Huh
Erschienen in: Future Information Technology
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
When all the services provided in cloud computing are on-demand and highly commoditized, consumer would like to pay different prices for those privacy services with different protection assurances according to the importance of their data. We recently present a privacy-aware inter-cloud data integration system considering tradeoff between the privacy requirements from users and the charging for those data protection and processing. In this paper, we extend our previous work by providing four query execution schemes which assures a more sophisticated and flexible privacy protection. Another contribution of our paper is that we proposed an approach for allocating those schemes. As the schemes applied in user’s query are relevant and will affect the scheme selection for the next data query, our method assures that those schemes can be implemented properly.