GUC-secure protocol for private relational join operator computing

It is one of important applications of secure multiparty computation that privacy-preserving SQL computation in distributed relational database.There are only few works dealing with provably-secure privacy-preserving data manipulations in contrast with comparatively abundant works on privacy-preserv...

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Main Authors: Yuan TIAN, Rong-xin SUN, Wu-yang CAI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-11-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2014.11.012/
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author Yuan TIAN
Rong-xin SUN
Wu-yang CAI
author_facet Yuan TIAN
Rong-xin SUN
Wu-yang CAI
author_sort Yuan TIAN
collection DOAJ
description It is one of important applications of secure multiparty computation that privacy-preserving SQL computation in distributed relational database.There are only few works dealing with provably-secure privacy-preserving data manipulations in contrast with comparatively abundant works on privacy-preserving data-query in database,among which the join operator is the most powerful in generating new data (relation).By making use of anonymous IBE (identity-based encryption) scheme and its user private-keys blind generation techniques,a very general cryptographic protocol framework is proposed for secure 2-party join computation.This construction is provably GUC (generalized universally composable) secure in the standard model with acceptable efficiency.
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institution Kabale University
issn 1000-436X
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publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-a9422270335b4a55ada5b550697ab2ea2025-01-14T06:44:12ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-11-013510711659686328GUC-secure protocol for private relational join operator computingYuan TIANRong-xin SUNWu-yang CAIIt is one of important applications of secure multiparty computation that privacy-preserving SQL computation in distributed relational database.There are only few works dealing with provably-secure privacy-preserving data manipulations in contrast with comparatively abundant works on privacy-preserving data-query in database,among which the join operator is the most powerful in generating new data (relation).By making use of anonymous IBE (identity-based encryption) scheme and its user private-keys blind generation techniques,a very general cryptographic protocol framework is proposed for secure 2-party join computation.This construction is provably GUC (generalized universally composable) secure in the standard model with acceptable efficiency.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2014.11.012/secure multiparty computationGUC securitydistributed relational databasejoin
spellingShingle Yuan TIAN
Rong-xin SUN
Wu-yang CAI
GUC-secure protocol for private relational join operator computing
Tongxin xuebao
secure multiparty computation
GUC security
distributed relational database
join
title GUC-secure protocol for private relational join operator computing
title_full GUC-secure protocol for private relational join operator computing
title_fullStr GUC-secure protocol for private relational join operator computing
title_full_unstemmed GUC-secure protocol for private relational join operator computing
title_short GUC-secure protocol for private relational join operator computing
title_sort guc secure protocol for private relational join operator computing
topic secure multiparty computation
GUC security
distributed relational database
join
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2014.11.012/
work_keys_str_mv AT yuantian gucsecureprotocolforprivaterelationaljoinoperatorcomputing
AT rongxinsun gucsecureprotocolforprivaterelationaljoinoperatorcomputing
AT wuyangcai gucsecureprotocolforprivaterelationaljoinoperatorcomputing