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Quantum private set intersection cardinality based on bloom filter

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...

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Detalles Bibliográficos
Autores principales: Liu, Bai, Ruan, Ou, Shi, Runhua, Zhang, Mingwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405831/
https://www.ncbi.nlm.nih.gov/pubmed/34462472
http://dx.doi.org/10.1038/s41598-021-96770-1
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author Liu, Bai
Ruan, Ou
Shi, Runhua
Zhang, Mingwu
author_facet Liu, Bai
Ruan, Ou
Shi, Runhua
Zhang, Mingwu
author_sort Liu, Bai
collection PubMed
description 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.
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spelling pubmed-84058312021-09-01 Quantum private set intersection cardinality based on bloom filter Liu, Bai Ruan, Ou Shi, Runhua Zhang, Mingwu Sci Rep Article 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. Nature Publishing Group UK 2021-08-30 /pmc/articles/PMC8405831/ /pubmed/34462472 http://dx.doi.org/10.1038/s41598-021-96770-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Liu, Bai
Ruan, Ou
Shi, Runhua
Zhang, Mingwu
Quantum private set intersection cardinality based on bloom filter
title 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_short Quantum private set intersection cardinality based on bloom filter
title_sort quantum private set intersection cardinality based on bloom filter
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405831/
https://www.ncbi.nlm.nih.gov/pubmed/34462472
http://dx.doi.org/10.1038/s41598-021-96770-1
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