A Survey on Secure and Scalable Fine-Grained Access Control Using Attribute-Set-Based Encryption (ABE) in Cloud Computing

Kaduru. Narendra, Ms Vasavi

Abstract


Cloud computing is a radically new computing paradigm, which enables flexible, on-demand, and low-cost usage of computing resources , but the data is deployed to some cloud servers, and various privacy concerns emerge from it. Various layouts based on the attribute-based encryption have been proposed to secure the cloud storage. However, most work targets on the data contents privacy and the access control, while less attention is paid to the privilege control and the identity privacy. In this paper, a semi-anonymous privilege control scheme AnonyControl to address not only the data privacy, but also the user identity privacy in current access control schemes. AnonyControl decentralizes the central authority to limit the identity origin and thus achieves semi anonymity. Besides, it also generalizes the file access control to the privilege control, which privileges of all operations on the cloud data can be managed in a compact structured manner. Subsequently, we present the AnonyControl-F, which fully prevents the identity leakage and achieve the full anonymity. Our security presentation shows that both AnonyControl and AnonyControl-F are secure under the Diffie Hellman assumption, and our performance estimation exhibits the feasibility of our schemes.


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