Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1782438716320514048 |
---|---|
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 In this paper, we reveal two previously unpublished attacks against PISC, which can be used to reveal and link one input set to another input set, resulting in privacy leakage.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). |
format | Online Article Text |
id | pubmed-4915661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 In this paper, we reveal two previously unpublished attacks against PISC, which can be used to reveal and link one input set to another input set, resulting in privacy leakage.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 |
work_keys_str_mv | AT renwei lipiscalightweightandflexiblemethodforprivacyawareintersectionsetcomputation AT huangshiyong lipiscalightweightandflexiblemethodforprivacyawareintersectionsetcomputation AT renyi lipiscalightweightandflexiblemethodforprivacyawareintersectionsetcomputation AT chookimkwangraymond lipiscalightweightandflexiblemethodforprivacyawareintersectionsetcomputation |