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.
Authors
- Chunqiang Hu (ORCID: https://orcid.org/0000-0001-5825-2241)
- Bin Cai (ORCID: https://orcid.org/0000-0003-2808-0156)
- Jiguo Yu (ORCID: https://orcid.org/0000-0001-6451-1158)
- Pengfei Hu (ORCID: https://orcid.org/0000-0002-7935-886X)
- Xi Chen (ORCID: https://orcid.org/0009-0009-6778-9492)
Institutions
- University of Electronic Science and Technology of China (CN)
- Chongqing University (CN)
- Ministry of Education (SA)
- Shandong University of Science and Technology (CN)
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
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Chongqing
- Graduate School, Chongqing University