Article: Attribute-based sharing method for cloud data with fine-grained dynamic access control Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.44 pp.19 - 46 Abstract: Due to the number of individuals who rely on cloud computing, there are massive issues with sharing data over the cloud. To enhance the security and flexibility of data sharing, this paper proposes a cloud-based data attribute-based sharing method grounded in fine-grained dynamic access control. This approach first introduces a dynamic revocation mechanism to ensure granularity in permission management. Subsequently, it combines attribute encryption with a weight exchange mechanism to further enhance data access control. Finally, experimental validation confirms the method's performance. The findings indicate that the proposed solution is more accurate by 5.2%, more inclined to detect relevant information by 6.3% and it is 7.8% better than the conventional methods. The model is highly scalable and efficient in dealing with large scale data, and it satisfies security requirements in data exchange in the cloud. Inderscience Publishers - linking academia, business and industry through research

Title: Attribute-based sharing method for cloud data with fine-grained dynamic access control

Authors: Debao Zhao; Yangyang Xiang

Addresses: Wuhan Technical University, Wuhan, 430074, China ' Wuhan Technical University, Wuhan, 430074, China

Abstract: Due to the number of individuals who rely on cloud computing, there are massive issues with sharing data over the cloud. To enhance the security and flexibility of data sharing, this paper proposes a cloud-based data attribute-based sharing method grounded in fine-grained dynamic access control. This approach first introduces a dynamic revocation mechanism to ensure granularity in permission management. Subsequently, it combines attribute encryption with a weight exchange mechanism to further enhance data access control. Finally, experimental validation confirms the method's performance. The findings indicate that the proposed solution is more accurate by 5.2%, more inclined to detect relevant information by 6.3% and it is 7.8% better than the conventional methods. The model is highly scalable and efficient in dealing with large scale data, and it satisfies security requirements in data exchange in the cloud.

Keywords: cloud data sharing; fine-grained dynamic access control; attribute-based encryption; ABE; data privacy protection.

DOI: 10.1504/IJICT.2026.153392

International Journal of Information and Communication Technology, 2026 Vol.27 No.44, pp.19 - 46

Received: 21 Dec 2025
Accepted: 28 Jan 2026
Published online: 06 May 2026 *

Title: Attribute-based sharing method for cloud data with fine-grained dynamic access control

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