Quantum private set intersection cardinality based on bloom filter

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 sha...

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Autores principales: Bai Liu, Ou Ruan, Runhua Shi, Mingwu Zhang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/3f516cf680c34052a5b6e0e83e7e3e0f
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spelling oai:doaj.org-article:3f516cf680c34052a5b6e0e83e7e3e0f2021-12-02T19:09:20ZQuantum private set intersection cardinality based on bloom filter10.1038/s41598-021-96770-12045-2322https://doaj.org/article/3f516cf680c34052a5b6e0e83e7e3e0f2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96770-1https://doaj.org/toc/2045-2322Abstract 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.Bai LiuOu RuanRunhua ShiMingwu ZhangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Bai Liu
Ou Ruan
Runhua Shi
Mingwu Zhang
Quantum private set intersection cardinality based on bloom filter
description 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.
format article
author Bai Liu
Ou Ruan
Runhua Shi
Mingwu Zhang
author_facet Bai Liu
Ou Ruan
Runhua Shi
Mingwu Zhang
author_sort Bai Liu
title Quantum private set intersection cardinality based on bloom filter
title_short Quantum private set intersection cardinality based on bloom filter
title_full Quantum private set intersection cardinality based on bloom filter
title_fullStr Quantum private set intersection cardinality based on bloom filter
title_full_unstemmed Quantum private set intersection cardinality based on bloom filter
title_sort quantum private set intersection cardinality based on bloom filter
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/3f516cf680c34052a5b6e0e83e7e3e0f
work_keys_str_mv AT bailiu quantumprivatesetintersectioncardinalitybasedonbloomfilter
AT ouruan quantumprivatesetintersectioncardinalitybasedonbloomfilter
AT runhuashi quantumprivatesetintersectioncardinalitybasedonbloomfilter
AT mingwuzhang quantumprivatesetintersectioncardinalitybasedonbloomfilter
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