Architecture for Privacy-Preserving Integration and Querying of Distributed and Heterogeneous Data

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
More and more applications rely heavily on large amounts of data in the distributed storages collected over time or produced by large scale scientific experiments or simulations. An important fact is that many organizations collect, store, and use various types of information about individuals. In consequence, 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. Given a query spanning multiple databases, query should not only be executed efficiently by the system, but results should not contain individually identifiable information.
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