Dynamic Access Control using Blockchain-based Attribute Encryption Scheme for Big Data Cloud Storage

Authors

  • Wei Fu Department of Information Technology, Anhui Vocational College of Grain Engineering, Hefei 230000,Anhui, China
  • Lulu Zhang
  • Changqun Li

Abstract

As one of the most crucial aspects of cloud computing, cloud storage allows users to overcome a lack of available storage space and speed without having to invest in new devices. Big data refers to a wide range of data characterized by its volume and rate of change. Traditional databases cannot handle the massive amount of information that big data operations generate. Therefore, ideally, the storage and processing of large data should occur on the cloud. However, ensuring privacy and access control is crucial before putting big data on the cloud. This requires encrypting the data and limiting the number of people accessing it. Hence, this study proposes Blockchain-assisted Cohesive Authentication using Attribute-Based Encryption Scheme (BCA-ABES) for dynamic control of access to big data stored in the cloud. The ABE scheme provides less computation overhead in the encryption process and decreases the decryption time required for effective dynamic access control. Organizations may use smart contracts to record their blockchain access control policy and assign appropriate roles to users. The suggested architecture uses smart contracts’ access control computation technique to control access to huge data resources in cloud storage. Our suggested approach has been thoroughly tested for security vulnerabilities and shown great computing efficiency, and meets the indistinguishability criteria in theoretical and practical evaluations.

Keywords: Dynamic Access Control, Big Data Analytics, Cloud Computing, Blockchain Technologies, Big Data Cloud Storage.

Cite As

W. Fu, L. Zhang, C. Li, "Dynamic Access Control using Blockchain-based Attribute Encryption Scheme for Big Data Cloud Storage", Engineering Intelligent Systems, vol. 33 no. 3, pp. 263-273, 2025.




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Published

2025-05-01

Issue

Vol. 33 No. 3 (2025): International Journal of Engineering Intelligent Systems

Section

Article

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