Secure Cross-Domain Authentication and Data Sharing Scheme for IIoT in Cloud-Fog Automation Architecture

Cloud-fog automation architecture has propelled the advancement of the Industrial Internet of Things (IIoT), significantly enhancing production efficiency and intelligence through extensive data collection and connectivity. Simultaneously, industrial cyber-physical system leverages this data to achieve intelligent control and optimization of production processes. As industrial production becomes increasingly specialized and complex, independent operations within a single domain are no longer sufficient to meet demands, making cross-domain collaborative production inevitable. Consequently, ensuring the security of cross-domain communication and data sharing has become a critical issue for IIoT under the cloud-fog automation architecture. Existing solutions encounter substantial management and computational burdens in cross-domain communication and data sharing, and they are vulnerable to privacy leakage risks. To address these challenges and enhance industrial production efficiency, this paper uses consortium blockchain to co-design a cross-domain authentication and data sharing scheme. The scheme ensures secure and private cross-domain communications with minimal computational, communication, and storage overhead. And, the proposed time-specific plaintext checkable encryption protocol can secure data during cross-domain sharing. Security and performance analyses show that the proposed scheme effectively reduces computational and communication resource demands while maintaining communication and data security.

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Publication Details

Journal
IEEE Journal on Selected Areas in Communications
Published
2025-05-28
DOI
https://doi.org/10.1109/jsac.2025.3574606
Citations
2
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
6.49

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article

Secure Cross-Domain Authentication and Data Sharing Scheme for IIoT in Cloud-Fog Automation Architecture

Chunqiang Hu, Bin Cai, Jiguo Yu, Pengfei Hu et al.
2 citations
IEEE Journal on Selected Areas in Communications
Cloud Data Security Solutions
6.49
article

Secure Cross-Domain Authentication and Data Sharing Scheme for IIoT in Cloud-Fog Automation Architecture

Chunqiang Hu, Bin Cai, Jiguo Yu, Pengfei Hu, Xi Chen
article en
2 citations

Abstract

Cloud-fog automation architecture has propelled the advancement of the Industrial Internet of Things (IIoT), significantly enhancing production efficiency and intelligence through extensive data collection and connectivity. Simultaneously, industrial cyber-physical system leverages this data to achieve intelligent control and optimization of production processes. As industrial production becomes increasingly specialized and complex, independent operations within a single domain are no longer sufficient to meet demands, making cross-domain collaborative production inevitable. Consequently, ensuring the security of cross-domain communication and data sharing has become a critical issue for IIoT under the cloud-fog automation architecture. Existing solutions encounter substantial management and computational burdens in cross-domain communication and data sharing, and they are vulnerable to privacy leakage risks. To address these challenges and enhance industrial production efficiency, this paper uses consortium blockchain to co-design a cross-domain authentication and data sharing scheme. The scheme ensures secure and private cross-domain communications with minimal computational, communication, and storage overhead. And, the proposed time-specific plaintext checkable encryption protocol can secure data during cross-domain sharing. Security and performance analyses show that the proposed scheme effectively reduces computational and communication resource demands while maintaining communication and data security.

IEEE Journal on Selected Areas in CommunicationsVol. 43(9)
University of Electronic Science and Technology of China (CN), Chongqing University (CN), Ministry of Education (SA), Shandong University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing, Graduate School, Chongqing University
Openalex Percentile: Top 4%
Cloud Data Security Solutions
6.49
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