Verifying Completeness of Relational Query Results in Data Publishing
In data publishing, the owner delegates the role of satisfying user queries to a third-party publisher. As the publisher may be untrusted or susceptible to attacks, it could produce incorrect query results. In this paper, we introduce a scheme for users to verify that their query results are complet...
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2005
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sg-smu-ink.sis_research-21352017-07-11T09:01:22Z Verifying Completeness of Relational Query Results in Data Publishing PANG, Hwee Hwa JAIN, Arpit RAMAMRITHAM, Krithi TAN, Kian-Lee In data publishing, the owner delegates the role of satisfying user queries to a third-party publisher. As the publisher may be untrusted or susceptible to attacks, it could produce incorrect query results. In this paper, we introduce a scheme for users to verify that their query results are complete (i.e., no qualifying tuples are omitted) and authentic (i.e., all the result values originated from the owner). The scheme supports range selection on key and non-key attributes, project as well as join queries on relational databases. Moreover, the proposed scheme complies with access control policies, is computationally secure, and can be implemented efficiently. 2005-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1136 info:doi/10.1145/1066157.1066204 https://ink.library.smu.edu.sg/context/sis_research/article/2135/viewcontent/Verifying_Completeness_of_Relational_Query_Results_in_Data_Publishing_edited_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Access control data publishing relational query data processing Databases and Information Systems Numerical Analysis and Scientific Computing |
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Access control data publishing relational query data processing Databases and Information Systems Numerical Analysis and Scientific Computing PANG, Hwee Hwa JAIN, Arpit RAMAMRITHAM, Krithi TAN, Kian-Lee Verifying Completeness of Relational Query Results in Data Publishing |
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In data publishing, the owner delegates the role of satisfying user queries to a third-party publisher. As the publisher may be untrusted or susceptible to attacks, it could produce incorrect query results. In this paper, we introduce a scheme for users to verify that their query results are complete (i.e., no qualifying tuples are omitted) and authentic (i.e., all the result values originated from the owner). The scheme supports range selection on key and non-key attributes, project as well as join queries on relational databases. Moreover, the proposed scheme complies with access control policies, is computationally secure, and can be implemented efficiently. |
format |
text |
author |
PANG, Hwee Hwa JAIN, Arpit RAMAMRITHAM, Krithi TAN, Kian-Lee |
author_facet |
PANG, Hwee Hwa JAIN, Arpit RAMAMRITHAM, Krithi TAN, Kian-Lee |
author_sort |
PANG, Hwee Hwa |
title |
Verifying Completeness of Relational Query Results in Data Publishing |
title_short |
Verifying Completeness of Relational Query Results in Data Publishing |
title_full |
Verifying Completeness of Relational Query Results in Data Publishing |
title_fullStr |
Verifying Completeness of Relational Query Results in Data Publishing |
title_full_unstemmed |
Verifying Completeness of Relational Query Results in Data Publishing |
title_sort |
verifying completeness of relational query results in data publishing |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2005 |
url |
https://ink.library.smu.edu.sg/sis_research/1136 https://ink.library.smu.edu.sg/context/sis_research/article/2135/viewcontent/Verifying_Completeness_of_Relational_Query_Results_in_Data_Publishing_edited_.pdf |
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1770570868718567424 |