LiPISC: A Lightweight and Flexible Method for Privacy-Aware Intersection Set Computation.
Where this comes from
- Record sourced from PubMed, PMID 27326763.
- Also identified by DOI 10.1371/journal.pone.0157752 and PMC identifier 4915661.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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 In this paper, we reveal two previously unpublished attacks against PISC, which can be used to reveal and link one input set to another input set, resulting in privacy leakage.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).
Medical subject headings
- Algorithms
- Computer Security
- Confidentiality