Shen, Wenting, Qin, Jing ORCID: 0000-0003-2380-0396 and Ma, Jixin (2019) A lightweight identity-based cloud storage auditing supporting proxy update and workload-based payment. Security and Communication Networks, 2019:8275074. ISSN 1939-0114 (Print), 1939-0122 (Online) (doi:https://doi.org/10.1155/2019/8275074)

Preview

PDF (Open Access Article) 24387 MA_Lightweight_Identity-based_Cloud_Storage_Auditing_Supporting_Proxy_Update_(OA)_2019.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

Cloud storage auditing allows the users to store their data to the cloud with a guarantee that the data integrity can be efficiently checked. In order to release the user from the burden of generating data signatures, the proxy with a valid warrant is introduced to help the user process data in lightweight cloud storage auditing schemes. However, the proxy might be revoked or the proxy’s warrant might expire. These problems are common and essential in real-world applications, but they are not considered and solved in existing lightweight cloud storage auditing schemes. In this paper, we propose a lightweight identity-based cloud storage auditing scheme supporting proxy update, which not only reduces the user’s computation overhead but also makes the revoked proxy or the expired proxy unable to process data on behalf of the user any more. The signatures generated by the revoked proxy or the expired proxy can still be used to verify data integrity. Furthermore, our scheme also supports workload-based payment for the proxy. The security proof and the performance analysis indicate that our scheme is secure and efficient.

Item Type:	Article
Uncontrolled Keywords:	cloud storage auditing, proxy update, revoked proxy, expired proxy
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Liberal Arts & Sciences > Computational Science & Engineering Group (CSEH) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/24387

Actions (login required)

View Item

Downloads