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Privacy-Preserving Methods for Outsourced Computation

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) Crypto-index for outsourced database services.

Habilidades: Soluciones en la nube, Python

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( 0 comentarios ) United States

ID de proyecto: #12151472

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dmjuma

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daccola

Worked for a project with World Bank for Government Cloud (G-Cloud) and I created the report about its security. This is something similar, I have a lot of experience.

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