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A PRIVACY LEAKAGE UPPER BOUNDCONSTRAINT-BASED APPROACH FORCOST-EFFECTIVE PRIVACY PRESERVINGOF INTERMEDIATE DATA SETS IN CLOUD
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Abstract
Cloud computing provides massive computation power and storage capacity which enable users to deploy computation and data intensive applications without infrastructure investment.
Data sets are generated during data access or retaining.
Preserving the privacy of intermediate datasets becomes a challenging problem because adversaries may recover privacy-sensitive information by analyzing multiple intermediate datasets. Encrypting ALL datasets in cloud is widely adopted in existing approaches to address this challenge.
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