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:
Research Article
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

Internet

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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