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Attribute-Based Verifiable Conditional Proxy Re-Encryption Scheme

There are mostly semi-honest agents in cloud computing, so agents may perform unreliable calculations during the actual execution process. In this paper, an attribute-based verifiable conditional proxy re-encryption (AB-VCPRE) scheme using a homomorphic signature is proposed to solve the problem tha...

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Detalles Bibliográficos
Autores principales: Tang, Yongli, Jin, Minglu, Meng, Hui, Yang, Li, Zheng, Chengfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217710/
https://www.ncbi.nlm.nih.gov/pubmed/37238577
http://dx.doi.org/10.3390/e25050822
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author Tang, Yongli
Jin, Minglu
Meng, Hui
Yang, Li
Zheng, Chengfu
author_facet Tang, Yongli
Jin, Minglu
Meng, Hui
Yang, Li
Zheng, Chengfu
author_sort Tang, Yongli
collection PubMed
description There are mostly semi-honest agents in cloud computing, so agents may perform unreliable calculations during the actual execution process. In this paper, an attribute-based verifiable conditional proxy re-encryption (AB-VCPRE) scheme using a homomorphic signature is proposed to solve the problem that the current attribute-based conditional proxy re-encryption (AB-CPRE) algorithm cannot detect the illegal behavior of the agent. The scheme implements robustness, that is the re-encryption ciphertext, can be verified by the verification server, showing that the received ciphertext is correctly converted by the agent from the original ciphertext, thus, meaning that illegal activities of agents can be effectively detected. In addition, the article demonstrates the reliability of the constructed AB-VCPRE scheme validation in the standard model, and proves that the scheme satisfies CPA security in the selective security model based on the learning with errors (LWE) assumption.
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spelling pubmed-102177102023-05-27 Attribute-Based Verifiable Conditional Proxy Re-Encryption Scheme Tang, Yongli Jin, Minglu Meng, Hui Yang, Li Zheng, Chengfu Entropy (Basel) Article There are mostly semi-honest agents in cloud computing, so agents may perform unreliable calculations during the actual execution process. In this paper, an attribute-based verifiable conditional proxy re-encryption (AB-VCPRE) scheme using a homomorphic signature is proposed to solve the problem that the current attribute-based conditional proxy re-encryption (AB-CPRE) algorithm cannot detect the illegal behavior of the agent. The scheme implements robustness, that is the re-encryption ciphertext, can be verified by the verification server, showing that the received ciphertext is correctly converted by the agent from the original ciphertext, thus, meaning that illegal activities of agents can be effectively detected. In addition, the article demonstrates the reliability of the constructed AB-VCPRE scheme validation in the standard model, and proves that the scheme satisfies CPA security in the selective security model based on the learning with errors (LWE) assumption. MDPI 2023-05-19 /pmc/articles/PMC10217710/ /pubmed/37238577 http://dx.doi.org/10.3390/e25050822 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tang, Yongli
Jin, Minglu
Meng, Hui
Yang, Li
Zheng, Chengfu
Attribute-Based Verifiable Conditional Proxy Re-Encryption Scheme
title Attribute-Based Verifiable Conditional Proxy Re-Encryption Scheme
title_full Attribute-Based Verifiable Conditional Proxy Re-Encryption Scheme
title_fullStr Attribute-Based Verifiable Conditional Proxy Re-Encryption Scheme
title_full_unstemmed Attribute-Based Verifiable Conditional Proxy Re-Encryption Scheme
title_short Attribute-Based Verifiable Conditional Proxy Re-Encryption Scheme
title_sort attribute-based verifiable conditional proxy re-encryption scheme
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217710/
https://www.ncbi.nlm.nih.gov/pubmed/37238577
http://dx.doi.org/10.3390/e25050822
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