2014
DOI: 10.1016/j.ins.2014.01.016
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A communication-efficient private matching scheme in Client–Server model

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Cited by 23 publications
(13 citation statements)
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“…Private Set Intersection Cardinality (PSI-CA) is a special problem of Secure Multiparty Computation (SMC), in which two parties jointly compute the cardinality of their respective private sets [1]. PSI-CA has many important applications for distributed network environments with the protection of the user privacy [2]. For instance, in social networks [3], two parties may privately compute the number of common connections (i.e., friend relationships) by running a PSI-CA protocol, where each element of the private sets represents a connection, so that they can decide whether or not to make friends.…”
Section: Introductionmentioning
confidence: 99%
“…Private Set Intersection Cardinality (PSI-CA) is a special problem of Secure Multiparty Computation (SMC), in which two parties jointly compute the cardinality of their respective private sets [1]. PSI-CA has many important applications for distributed network environments with the protection of the user privacy [2]. For instance, in social networks [3], two parties may privately compute the number of common connections (i.e., friend relationships) by running a PSI-CA protocol, where each element of the private sets represents a connection, so that they can decide whether or not to make friends.…”
Section: Introductionmentioning
confidence: 99%
“…The client will learn the intersection of the two sets and the server will learn nothing [1]. PSI is also known as Private Matching (PM) [2].…”
Section: Introductionmentioning
confidence: 99%
“…Because of its importance and wide applicability, many schemes for PSI and its variants have been proposed [1][2][3][10][11][12][13][14][15]. Among these schemes, the most efficient PSI scheme requires ( + ) costs in communication complexity, which increases linearly with both the client's set size, , and the server's set size, .…”
Section: Introductionmentioning
confidence: 99%
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“…But Alice does not want him to know which member it is. Oblivious Set-member Decision can be used to privately compute multi-party set intersection and union which are widely applied in some privacy-preserving and information-sharing settings 17 . In addition, there are also lots of practical applications of Oblivious Set-member Decision in fields of the identifiable or verifiable circumstances, such as anonymous authentication, electronic voting and electronic auction.…”
mentioning
confidence: 99%