Privacy Preserving Methods for Outsourced Computation
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Project Budget$10 - $30 USD
Completed In7 days
If cloud providers are untrusted (for many reasons), outsourcing data intensive
computation such as database services and data mining to public clouds raises privacy
concerns. The primary purpose of this assignment is to understand the data privacy
(confidentiality) problem with outsourced computation in public clouds, and implement
several methods to mitigate this problem. This project consists of two parts. (1)
Multiplication perturbation methods for outsourced data mining; and (2) Cryptoindex
for outsourced database services.
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