An image partition security-sharing mechanism based on blockchain and chaotic encryption.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 30 11 2023
accepted: 09 07 2024
medline: 30 7 2024
pubmed: 30 7 2024
entrez: 30 7 2024
Statut: epublish

Résumé

To ensure optimal use of images while preserving privacy, it is necessary to partition the shared image into public and private areas, with public areas being openly accessible and private areas being shared in a controlled and privacy-preserving manner. Current works only facilitate image-level sharing and use common cryptographic algorithms. To ensure efficient, controlled, and privacy-preserving image sharing at the area level, this paper proposes an image partition security-sharing mechanism based on blockchain and chaotic encryption, which mainly includes a fine-grained access control method based on Attribute-Based Access Control (ABAC) and an image-specific chaotic encryption scheme. The proposed fine-grained access control method employs smart contracts based on the ABAC model to achieve automatic access control for private areas. It employs a Cuckoo filter-based transaction retrieval technique to enhance the efficiency of smart contracts in retrieving security attributes and policies on the blockchain. The proposed chaotic encryption scheme generates keys based on the private areas' security attributes, largely reducing the number of keys required. It also provides efficient encryption with vector operation acceleration. The security analysis and performance evaluation were conducted comprehensively. The results show that the proposed mechanism has lower time overhead than current works as the number of images increases.

Identifiants

pubmed: 39078999
doi: 10.1371/journal.pone.0307686
pii: PONE-D-23-40037
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0307686

Informations de copyright

Copyright: © 2024 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Na Wang (N)

PLA Information Engineering University, Zhengzhou, Henan, China.

Xiaochang Wang (X)

PLA Information Engineering University, Zhengzhou, Henan, China.

Aodi Liu (A)

PLA Information Engineering University, Zhengzhou, Henan, China.

Wenjuan Wang (W)

PLA Information Engineering University, Zhengzhou, Henan, China.

Yan Ding (Y)

PLA Information Engineering University, Zhengzhou, Henan, China.

Xiangyu Wu (X)

PLA Information Engineering University, Zhengzhou, Henan, China.

Xuehui Du (X)

PLA Information Engineering University, Zhengzhou, Henan, China.

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