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Edge-assisted quantum protocol for secure multiparty logical AND its applications

Security and privacy have always been key concerns for individuals in various edge-assisted services. In this paper, we present a feasible quantum solution to an important primitive of secure multiparty computations, i.e., Secure Multiparty Logical AND (SMLA), in which n participants can securely co...

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Detalles Bibliográficos
Autores principales: Shi, Run-hua, Fang, Xia-qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10391609/
https://www.ncbi.nlm.nih.gov/pubmed/37534150
http://dx.doi.org/10.1016/j.isci.2023.106990
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author Shi, Run-hua
Fang, Xia-qin
author_facet Shi, Run-hua
Fang, Xia-qin
author_sort Shi, Run-hua
collection PubMed
description Security and privacy have always been key concerns for individuals in various edge-assisted services. In this paper, we present a feasible quantum solution to an important primitive of secure multiparty computations, i.e., Secure Multiparty Logical AND (SMLA), in which n participants can securely compute logical AND of n private bits. In order to ensure perfect security and achieve good feasibility, we introduce a semi-honest edge server and two non-collusive fog nodes, and design a secure and feasible edge-assisted quantum protocol for SMLA, which cleverly utilizes Secure Multiparty XOR to implement SMLA group by group. Furthermore, we focus on applications of this quantum primitive protocol and design two quantum protocols for Multiple Private Set Intersection and Anonymous One-vote Veto. Compared with classical related protocols, our proposed quantum protocols obtain higher security, which can be guaranteed by the basic principles of quantum mechanics.
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spelling pubmed-103916092023-08-02 Edge-assisted quantum protocol for secure multiparty logical AND its applications Shi, Run-hua Fang, Xia-qin iScience Article Security and privacy have always been key concerns for individuals in various edge-assisted services. In this paper, we present a feasible quantum solution to an important primitive of secure multiparty computations, i.e., Secure Multiparty Logical AND (SMLA), in which n participants can securely compute logical AND of n private bits. In order to ensure perfect security and achieve good feasibility, we introduce a semi-honest edge server and two non-collusive fog nodes, and design a secure and feasible edge-assisted quantum protocol for SMLA, which cleverly utilizes Secure Multiparty XOR to implement SMLA group by group. Furthermore, we focus on applications of this quantum primitive protocol and design two quantum protocols for Multiple Private Set Intersection and Anonymous One-vote Veto. Compared with classical related protocols, our proposed quantum protocols obtain higher security, which can be guaranteed by the basic principles of quantum mechanics. Elsevier 2023-05-29 /pmc/articles/PMC10391609/ /pubmed/37534150 http://dx.doi.org/10.1016/j.isci.2023.106990 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Shi, Run-hua
Fang, Xia-qin
Edge-assisted quantum protocol for secure multiparty logical AND its applications
title Edge-assisted quantum protocol for secure multiparty logical AND its applications
title_full Edge-assisted quantum protocol for secure multiparty logical AND its applications
title_fullStr Edge-assisted quantum protocol for secure multiparty logical AND its applications
title_full_unstemmed Edge-assisted quantum protocol for secure multiparty logical AND its applications
title_short Edge-assisted quantum protocol for secure multiparty logical AND its applications
title_sort edge-assisted quantum protocol for secure multiparty logical and its applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10391609/
https://www.ncbi.nlm.nih.gov/pubmed/37534150
http://dx.doi.org/10.1016/j.isci.2023.106990
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