Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers

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Provided by: Emory University
Topic: Big Data
Format: PDF
There is an increasing need for sharing data repositories containing personal information across multiple distributed and private databases. However, such data sharing is subject to constraints imposed by privacy of individuals or data subjects as well as data confidentiality of institutions or data providers. Concretely, given a query spanning multiple databases, query results should not contain individually identifiable information. In addition, institutions should not reveal their databases to each other apart from the query results.
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