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A study of the private set intersection protocol based on negative databases

  • University of Science and Technology of China

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Nowadays, data privacy has been widely concerned. The private set intersection means that several parties calculate the intersection of their private sets while without revealing extra information about their private data. The negative database (NDB) is a new technique for preserving privacy, and it stores information in the complementary set of a traditional database (DB). Reversing the NDB to recover the corresponding DB is an NP-hard problem, and this property is the security foundation of the NDB. Moreover, the NDB can directly support some database operations such as intersection, union, select and Cartesian product. However, so far, there is no research work about the secure multi-party computation based on NDBs. In this paper, firstly, a two-party private set intersection protocol based on NDBs is proposed, and its security and efficiency are analyzed. Then, the multi-party private set intersection protocol based on NDBs is given.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing, DASC 2013
PublisherIEEE Computer Society
Pages58-64
Number of pages7
ISBN (Print)9781479933815
DOIs
StatePublished - 2013
Externally publishedYes
Event11th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2013 - Chengdu, Sichuan, China
Duration: 21 Dec 201322 Dec 2013

Publication series

NameProceedings - 2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing, DASC 2013

Conference

Conference11th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2013
Country/TerritoryChina
CityChengdu, Sichuan
Period21/12/1322/12/13

Keywords

  • negative database
  • privacy preserving
  • private set intersection
  • secure multi-party computation

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