Title: A fine-grained attribute-based authentication for sensitive data stored in cloud computing

Authors: Zhusong Liu; Jinman Luo; Lingling Xu

Addresses: School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China ' Information Center, Dongguan Power Supply Bureau of Guangdong Power Grid Corperation, Dongguan 523000, China ' School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

Abstract: Attribute-Based Signature (ABS) is one of the important security primitives to realise anonymous authentication. In ABS, users cannot forge a signature with attributes they do not have even if they collude. In addition, a legitimate signer remains anonymous among all the users whose attributes satisfy the predicate specified in the signature. However, one of the challenges to implement ABS is the efficiency problem. Cloud computing is a promising and new computing model in which resources of the computing infrastructure can be rented and provided to the users via the internet. In this paper, the issue of outsourcing ABS is addressed, which enables users largely to eliminate the computational costs of ABS generation. We propose an efficient and secure outsourcing ABS scheme. Extensive analysis shows that our scheme is secure in the proposed model and efficient at the user side.

Keywords: anonymity; attribute-based signatures; ABS; fine-grained authentication; attribute-based authentication; sensitive data; cloud computing; anonymous authentication; privacy protection; privacy preservation; cloud security.

DOI: 10.1504/IJGUC.2016.081010

International Journal of Grid and Utility Computing, 2016 Vol.7 No.4, pp.237 - 244

Received: 12 Jul 2014
Accepted: 10 Apr 2015
Published online: 15 Dec 2016 *

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