Hierarchical and Multi-Group Data Sharing for Cloud-Assisted Industrial Internet of Things

被引:5
|
作者
Li, Teng [1 ]
Zhang, Jiawei [1 ]
Shen, Yulong [2 ]
Ma, Jianfeng [1 ]
机构
[1] Xidian Univ, Sch Cyber Engn, Xian 710071, Shaanxi, Peoples R China
[2] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Shaanxi, Peoples R China
关键词
Industrial Internet of Things; Encryption; Cloud computing; Access control; Security; Proposals; Keyword search; Data authenticity and integrity; hierarchical CP-ABE; multiple group data sharing; traceability; user anonymity; ATTRIBUTE-BASED ENCRYPTION; FRAMEWORK; SECURE;
D O I
10.1109/TSC.2023.3262563
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the development of Industrial Internet of Things (IIoT) and 5G, massive data are easily collected and transmitted in cloud. Therefore, it is critical to guarantee the security of data sharing. In IIoT applications, the users of a group are in hierarchical structure and they intend to access data by external groups, which requires fine-grained access control, data authenticity and data retrieval. However, existing approaches rarely provide such solutions to satisfy these requirements simultaneously. In this paper, we propose an efficient hierarchical and multi-group data sharing framework (HMGDSF) in cloud-assisted IIoT. Apart from fine-grained data access control for hierarchical users with key leakage resilience, HMGDSF achieves user anonymity with traceability and keyword-based data retrieval. Moreover, the approach supports data authenticity and integrity verification for multi-group data sharing by integrating group signature mechanism. We provide proof for the security of framework and demonstrate its efficiency and practicability by extensive evaluations.
引用
收藏
页码:3425 / 3438
页数:14
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