Affiliations: [a] School of Computer Science and Technology, Anhui University, China. mtian@ahu.edu.cn | [b] Department of Computer Science and Technology, East China Normal University, China. s080001@e.ntu.edu.sg
Correspondence:
[*]
Address for correspondence: School of Computer Science and Technology, Anhui University, Hefei 230601, China.
Abstract: Cloud storage is a significant service provided by the cloud that enables users to store their immense data into the cloud. As the advent of the big data era, cloud storage services are becoming increasingly popular. For security reasons, data owners would like to check the integrity of their data after storing it in the cloud. To do this, they usually make use of the public cloud data integrity checking schemes. This paper focuses on user anonymity in such schemes so that no third party could infer the identity information of any data owner from checking procedures. The problem is obviously inevitable in reality, however the current solutions are relatively involved as they heavily use public key certificates and/or incur huge communication overhead. In this paper we introduce the concept of attribute-based cloud data integrity checking to achieve user anonymity lightly and present security models for such systems. We also provide a practical construction and prove its security in the random oracle model. Finally, we show how to extend our construction to protect data privacy against any third party.
Keywords: Cloud storage, Data integrity, User anonymity, Attribute-based cryptography
