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This paper proposes a generic Grid privacy-preserving computation(G2PC) model which supports privacy-preserving data analysis and computation on multiple distributed datasets without compromising both the raw data privacy of Grid nodes and data statistics (intermediate result) privacy. The center of the design is our novel Data Privacy-Preserving Broker (D2PB) that combines the GSI (Grid Security...
Although successful in many applications, data mining poses special concerns for private data. An integrated architecture takes a systemic view of the problem, implementing established protocols for data collection, inference control, and information sharing. Our goal in investigating privacy preservation issues was to take a systemic view of architectural requirements and design principles and explore...
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