Mining Distributed Private Databases Using Random Response Protocols

Provided by: Emory University
Topic: Big Data
Format: PDF
There is a growing demand for sharing data repositories that often contain personal information across multiple autonomous, possibly untrusted, and private databases. This paper discusses constraints imposed by individual privacy as well as institutional data confidentiality on data mining across multiple databases and presents the authors' initial solutions. They develop a suite of decentralized protocols that aim to effectively anonymize the data for each individual database and compute the query results across databases in a probabilistically secure manner.

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