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LiPISC: A Lightweight and Flexible Method for Privacy-Aware Intersection Set Computation

Privacy-aware intersection set computation (PISC) can be modeled as secure multi-party computation. The basic idea is to compute the intersection of input sets without leaking privacy. Furthermore, PISC should be sufficiently flexible to recommend approximate intersection items. In this paper, we re...

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Detalles Bibliográficos
Autores principales: Ren, Wei, Huang, Shiyong, Ren, Yi, Choo, Kim-Kwang Raymond
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915661/
https://www.ncbi.nlm.nih.gov/pubmed/27326763
http://dx.doi.org/10.1371/journal.pone.0157752
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author Ren, Wei
Huang, Shiyong
Ren, Yi
Choo, Kim-Kwang Raymond
author_facet Ren, Wei
Huang, Shiyong
Ren, Yi
Choo, Kim-Kwang Raymond
author_sort Ren, Wei
collection PubMed
description Privacy-aware intersection set computation (PISC) can be modeled as secure multi-party computation. The basic idea is to compute the intersection of input sets without leaking privacy. Furthermore, PISC should be sufficiently flexible to recommend approximate intersection items. In this paper, we reveal two previously unpublished attacks against PISC, which can be used to reveal and link one input set to another input set, resulting in privacy leakage. We coin these as Set Linkage Attack and Set Reveal Attack. We then present a lightweight and flexible PISC scheme (LiPISC) and prove its security (including against Set Linkage Attack and Set Reveal Attack).
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spelling pubmed-49156612016-07-06 LiPISC: A Lightweight and Flexible Method for Privacy-Aware Intersection Set Computation Ren, Wei Huang, Shiyong Ren, Yi Choo, Kim-Kwang Raymond PLoS One Research Article Privacy-aware intersection set computation (PISC) can be modeled as secure multi-party computation. The basic idea is to compute the intersection of input sets without leaking privacy. Furthermore, PISC should be sufficiently flexible to recommend approximate intersection items. In this paper, we reveal two previously unpublished attacks against PISC, which can be used to reveal and link one input set to another input set, resulting in privacy leakage. We coin these as Set Linkage Attack and Set Reveal Attack. We then present a lightweight and flexible PISC scheme (LiPISC) and prove its security (including against Set Linkage Attack and Set Reveal Attack). Public Library of Science 2016-06-21 /pmc/articles/PMC4915661/ /pubmed/27326763 http://dx.doi.org/10.1371/journal.pone.0157752 Text en © 2016 Ren et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ren, Wei
Huang, Shiyong
Ren, Yi
Choo, Kim-Kwang Raymond
LiPISC: A Lightweight and Flexible Method for Privacy-Aware Intersection Set Computation
title LiPISC: A Lightweight and Flexible Method for Privacy-Aware Intersection Set Computation
title_full LiPISC: A Lightweight and Flexible Method for Privacy-Aware Intersection Set Computation
title_fullStr LiPISC: A Lightweight and Flexible Method for Privacy-Aware Intersection Set Computation
title_full_unstemmed LiPISC: A Lightweight and Flexible Method for Privacy-Aware Intersection Set Computation
title_short LiPISC: A Lightweight and Flexible Method for Privacy-Aware Intersection Set Computation
title_sort lipisc: a lightweight and flexible method for privacy-aware intersection set computation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915661/
https://www.ncbi.nlm.nih.gov/pubmed/27326763
http://dx.doi.org/10.1371/journal.pone.0157752
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