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Published Articles >> Table of Contents >> Abstract
22nd International Conference on Data Engineering (ICDE'06)
p. 27
Privacy Preserving Query Processing Using Third Parties
Fatih Emekci, University of California Santa Barbara
Divyakant Agrawal, University of California Santa Barbara
Amr El Abbadi, University of Califonia Santa Barbara
Aziz Gulbeden, University of California Santa Barbara
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2006.116
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| Abstract |
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Data integration from multiple autonomous data sources
has emerged as an important practical problem. The key requirement
for such data integration is that owners of such
data need to cooperate in a competitive landscape in most
of the cases. The research challenge in developing a query
processing solution is that the answers to the queries need
to be provided while preserving the privacy of the data
sources. In general, allowing unrestricted read access to
the whole data may give rise to potential vulnerabilities as
well as may have legal implications. Therefore, there is a
need for privacy preserving database operations for querying
data residing at different parties. In this paper, we propose
a new query processing technique using third parties in
a peer-to-peer system. We propose and evaluate two different
protocols for various database operations. Our scheme
is able to answer queries without revealing any useful information
to the data sources or to the third parties. Analytical
comparison of the proposed approach with other recent proposals
for privacy-preserving data integration establishes
the superiority of the proposed approach in terms of query
response time
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 Additional Information
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Citation:
Fatih Emekci, Divyakant Agrawal, Amr El Abbadi, Aziz Gulbeden,
"Privacy Preserving Query Processing Using Third Parties,"
icde,
p. 27,
22nd International Conference on Data Engineering (ICDE'06),
2006
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