Abstract：
:Medical data are often maintained by different organizations. However, detailed analyses sometimes require these datasets to be integrated without violating patient or commercial privacy. Multiparty Private Set Intersection (MPSI), which is an important privacy-preserving protocol, computes an intersection of multiple private datasets. This approach ensures that only designated parties can identify the intersection. In this paper, we propose a practical MPSI that satisfies the following requirements: The size of the datasets maintained by the different parties is independent of the others, and the computational complexity of the dataset held by each party is independent of the number of parties. Our MPSI is based on the use of an outsourcing provider, who has no knowledge of the data inputs or outputs. This reduces the computational complexity. The performance of the proposed MPSI is evaluated by implementing a prototype on a virtual private network to enable parallel computation in multiple threads. Our protocol is confirmed to be more efficient than comparable existing approaches.
journal_name
J Med Systjournal_title
Journal of medical systemsauthors
Miyaji A,Nakasho K,Nishida Sdoi
10.1007/s10916-016-0657-4subject
Has Abstractpub_date
2017-03-01 00:00:00pages
37issue
3eissn
0148-5598issn
1573-689Xpii
10.1007/s10916-016-0657-4journal_volume
41pub_type
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