Tools
Tools
Ren, Wei, Huang, Shiyong, Ren, Yi 
ORCID: https://orcid.org/0000-0001-7423-6719 and Choo, Kim-Kwang Raymond
(2016)
LiPISC: A lightweight and flexible method for privacy-aware intersection set computation.
PLoS One, 11 (6).
ISSN 1932-6203
Preview |
PDF (Published manuscript)
- Published Version
Available under License Creative Commons Attribution. Download (207kB) | Preview |
Abstract
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 In this paper, we reveal two previously unpublished attacks against PISC, which can be used to reveal and link one input set to another input set, resulting in privacy leakage.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).
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 23 Jan 2018 12:30 |
| Last Modified: | 10 Dec 2024 01:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/66040 |
| DOI: | 10.1371/journal.pone.0157752 |
Downloads
Downloads per month over past year
Actions (login required)
 |
View Item |