Probabilistic public key encryption for controlled equijoin in relational databases
We present a public key encryption scheme for relational databases (PKDE) that allows the owner to control the execution of cross-relation joins on an outsourced server. The scheme allows anyone to deposit encrypted records in a database on the server. Thereafter, the database owner may authorize th...
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sg-smu-ink.sis_research-45352020-03-25T03:59:49Z Probabilistic public key encryption for controlled equijoin in relational databases WANG, Yujue Hwee Hwa PANG, We present a public key encryption scheme for relational databases (PKDE) that allows the owner to control the execution of cross-relation joins on an outsourced server. The scheme allows anyone to deposit encrypted records in a database on the server. Thereafter, the database owner may authorize the server to join any two relations to identify matching records across them, while preventing self-joins that would reveal information on records that are unmatched in the join. The security of our construction is formally proved in the random oracle model based on the computational bilinear Diffie-Hellman assumption. Specifically, before a relation is joined, its encrypted records enjoy IND-CCA2 security; after a join, our scheme offers One-Way CCA2 security protection on the records. Our PKDE construction is shown to outperform the only existing 2017-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3534 info:doi/10.1093/comjnl/bxw083 https://ink.library.smu.edu.sg/context/sis_research/article/4535/viewcontent/PKDE_proofreading_2016Sep27__1_.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 Database security Data encryption Controlled join Equality test Private set intersection Data outsourcing Computer Sciences Databases and Information Systems Information Security |
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Database security Data encryption Controlled join Equality test Private set intersection Data outsourcing Computer Sciences Databases and Information Systems Information Security WANG, Yujue Hwee Hwa PANG, Probabilistic public key encryption for controlled equijoin in relational databases |
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We present a public key encryption scheme for relational databases (PKDE) that allows the owner to control the execution of cross-relation joins on an outsourced server. The scheme allows anyone to deposit encrypted records in a database on the server. Thereafter, the database owner may authorize the server to join any two relations to identify matching records across them, while preventing self-joins that would reveal information on records that are unmatched in the join. The security of our construction is formally proved in the random oracle model based on the computational bilinear Diffie-Hellman assumption. Specifically, before a relation is joined, its encrypted records enjoy IND-CCA2 security; after a join, our scheme offers One-Way CCA2 security protection on the records. Our PKDE construction is shown to outperform the only existing |
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text |
author |
WANG, Yujue Hwee Hwa PANG, |
author_facet |
WANG, Yujue Hwee Hwa PANG, |
author_sort |
WANG, Yujue |
title |
Probabilistic public key encryption for controlled equijoin in relational databases |
title_short |
Probabilistic public key encryption for controlled equijoin in relational databases |
title_full |
Probabilistic public key encryption for controlled equijoin in relational databases |
title_fullStr |
Probabilistic public key encryption for controlled equijoin in relational databases |
title_full_unstemmed |
Probabilistic public key encryption for controlled equijoin in relational databases |
title_sort |
probabilistic public key encryption for controlled equijoin in relational databases |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2017 |
url |
https://ink.library.smu.edu.sg/sis_research/3534 https://ink.library.smu.edu.sg/context/sis_research/article/4535/viewcontent/PKDE_proofreading_2016Sep27__1_.pdf |
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1770573296394305536 |