Evidence map›Paper›PMID 34462472›Full record

ArticleScientific reports2021

Quantum private set intersection cardinality based on bloom filter.

Bai Liu, Ou Ruan, Runhua Shi, Mingwu Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Bai LiuSchool of Computer Science, Hubei University of Technology, Wuhan, 430068, China. liubai@hbut.edu.cn.
Ou RuanSchool of Computer Science, Hubei University of Technology, Wuhan, 430068, China.
Runhua ShiSchool of Computer Science, Hubei University of Technology, Wuhan, 430068, China.
Mingwu ZhangSchool of Computer Science, Hubei University of Technology, Wuhan, 430068, China. csmwzhang@gmail.com.

Funding

National Natural Science Foundation of China 61701173National Natural Science Foundation of China 61702168National Natural Science Foundation of China 61902116National Natural Science Foundation of China 62002105
6 · The paper itself

Abstract

Private Set Intersection Cardinality that enable Multi-party to privately compute the cardinality of the set intersection without disclosing their own information. It is equivalent to a secure, distributed database query and has many practical applications in privacy preserving and data sharing. In this paper, we propose a novel quantum private set intersection cardinality based on Bloom filter, which can resist the quantum attack. It is a completely novel constructive protocol for computing the intersection cardinality by using Bloom filter. The protocol uses single photons, so it only need to do some simple single-photon operations and tests. Thus it is more likely to realize through the present technologies. The validity of the protocol is verified by comparing with other protocols. The protocol implements privacy protection without increasing the computational complexity and communication complexity, which are independent with data scale. Therefore, the protocol has a good prospects in dealing with big data, privacy-protection and information-sharing, such as the patient contact for COVID-19.

Indexed as

Computer SecurityConfidentialityCOVID-19Computer Communication NetworksHumansInformation Dissemination

Identifiers

PMID34462472
PMCPMC8405831

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.