AnonymousCloud: A Data Ownership Privacy Provider Framework in Cloud Computing

Provided by: University of Texas
Topic: Cloud
Format: PDF
A means of reliably concealing ownership of cloud data without impeding computation over the data is presented and evaluated. This facilitates information privacy enforcement in cloud environments by withholding data ownership information from cloud nodes that compute using the data. As a result, nodes that have access to private data in unencrypted form do not know who owns it, what role their computations play in the larger computational task, or to whom their computation results are ultimately delivered. To provide this data ownership privacy, the cloud's distributed computing resources are leveraged to implement an anonymizing circuit based on Tor, through which users submit private data and jobs.

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