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
Collections
Source
Journal of Data and Information Quality
Type
Journal article
Book Title
Entity type
Access Statement
License Rights
DOI
Restricted until
2037-12-31
Downloads
File
Description