標題: LiPISC: A Lightweight and Flexible Method for Privacy-Aware Intersection Set Computation
作者: Ren, Wei
Huang, Shiyong
Ren, Yi
Choo, Kim-Kwang Raymond
資訊工程學系
Department of Computer Science
公開日期: 21-Jun-2016
摘要: 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 In this paper, we reveal two previously unpublished attacks against PISC, which can be used to reveal and link one input set to another input set, resulting in privacy leakage.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).
URI: http://dx.doi.org/10.1371/journal.pone.0157752
http://hdl.handle.net/11536/133923
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0157752
期刊: PLOS ONE
Volume: 11
Issue: 6
起始頁: 0
結束頁: 0
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