Challenges for Privacy Preservation in Data Integration

Date

2014

Authors

Christen, Peter
Vatsalan, Dinusha
Verykios, Vassilios

Journal Title

Journal ISSN

Volume Title

Publisher

Association for Computing Machinary, Inc.

Abstract

Techniques for integrating data from diverse sources have attracted significant interest in recent years. Much of today's data collected by businesses and governments are about people, and integrating such data across organizations can raise privacy concerns. Various techniques that preserve privacy during data integration have been developed, but several challenges persist that need to be solved before such techniques become useful in practical applications. We elaborate on these challenges and discuss research directions.

Description

Keywords

Citation

Source

Journal of Data and Information Quality

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1145/2629604

Restricted until

2037-12-31