@inbook {IOPORT.05980018,
    author       = {Zhang, Kun and Li, Qingzhong and Shi, Yuliang},
    title        = {Data privacy preservation during schema evolution for multi-tenancy applications in cloud computing.},
    year         = {2011},
    booktitle    = {Web information systems and mining. International conference, WISM 2011, Taiyuan, China, September 24--25, 2011. Proceedings, Part I},
    isbn         = {978-3-642-23970-0},
    pages        = {376-383},
    publisher    = {Berlin: Springer},
    doi          = {10.1007/978-3-642-23971-7_47},
    abstract     = {Summary: In cloud computing, multi-tenancy applications utilize shared resources to serve multi tenants through ``single instance multi-tenancy''. Applications and databases are both deployed at the platform of un-trusted service providers. Data privacy has become the biggest challenges in wider adoption of cloud computing. Specifically, data schema evolves due to on-demand customization in cloud computing. How to protect the data privacy during data schema evolution for multi-tenancy application is an interesting and important problem. We proposed the privacy requirements for data schema evolution based on the data combination privacy, and then represented the data privacy-preserving architecture. A data schema evolution graph is constructed, and then the privacy-preserving evolution path is searched based on the principle of privacy requirements consistency. Analysis and experiments demonstrate the corrective and effective of the data privacy preservation approach during data schema evolution in cloud computing.},
    identifier   = {05980018},
}