Evidence map›Paper›PMID 33223585›Full record

ArticleComputers & security2020

Efficient determination of equivalence for encrypted data.

Jason N Doctor, Jaideep Vaidya, Xiaoqian Jiang, Shuang Wang, Lisa M Schilling, Toan Ong, Michael E Matheny, Lucila Ohno-Machado, Daniella Meeker

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computers & security, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jason N DoctorSchaeffer Center for Health Policy and Economics, University of Southern California, 635 Downey Way, Los Angeles, CA 90089-3333, United States.
Jaideep VaidyaManagement Science & Information Systems Department, Rutgers University, Newark, NJ, United States.
Xiaoqian JiangUCSD Health Department of Biomedical Informatics, UC San Diego, La Jolla, CA, United States.
Shuang WangUCSD Health Department of Biomedical Informatics, UC San Diego, La Jolla, CA, United States.
Lisa M SchillingDepartment of Medicine, University of Colorado, Anschutz Medical Campus, CO, United States.
Toan OngDepartment of Medicine, University of Colorado, Anschutz Medical Campus, CO, United States.
Michael E MathenyGeriatric Research Education and Clinical Care Service, Tennessee Valley Healthcare System VA, Nashville, TN, United States.
Lucila Ohno-MachadoUCSD Health Department of Biomedical Informatics, UC San Diego, La Jolla, CA, United States.
Daniella MeekerKeck School of Medicine, University of Southern California, Los Angeles, CA, United States.

Funding

USC-Yale Roybal Center for Behavioral Interventions in AgingP30AG024968 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JASON N. DOCTOR · 2004 to 2026
$14.7M
Use of Behavioral Economics in Repeat SARS-CoV-2 Antibody Testing in Disadvantaged CommunitiesR33AG057395 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DOCTOR, JASON N., SULLIVAN, MARK D · 2019 to 2021
$3.3M
Supplement for high performance compute clustersR35GM134927 · NIGMS · RUTGERS THE STATE UNIV OF NJ NEWARK · PI VAIDYA, JAIDEEP · 2020 to 2024
$2.1M
Secure and PrivAte Collaborative EnvironmentS (SPACES) for biomedical analyticsR01GM118574 · NIGMS · RUTGERS THE STATE UNIV OF NJ NEWARK · PI VAIDYA, JAIDEEP · 2017 to 2019
$1.1M
NIA NIH HHS P30 AG024968NIA NIH HHS R33 AG057395NIGMS NIH HHS R01 GM118574NIGMS NIH HHS R35 GM134927
6 · The paper itself

Abstract

Secure computation of equivalence has fundamental application in many different areas, including health-care. We study this problem in the context of matching an individual's identity to link medical records across systems under the socialist millionaires' problem: Two millionaires wish to determine if their fortunes are equal without disclosing their net worth (Boudot, et al. 2001). In Theorem 2, we show that when a "greater than" algorithm is carried out on a totally ordered set it is easy to achieve secure matching without additional rounds of communication. We present this efficient solution to assess equivalence using a set intersection algorithm designed for "greater than" computation and demonstrate its effectiveness on equivalence of arbitrary data values, as well as demonstrate how it meets regulatory criteria for risk of disclosure.

Indexed as

Encrypted dataRecord linkageSecure computationSet intersectionSocialist millionaires’ problem

Identifiers

PMID33223585
PMCPMC7676425

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.