R&D: Multiple‐Replica Integrity Auditing Schemes for Cloud Storage

Concurrency and Computation, Pratice and Experience has published an article written by Yangfei Lin, Graduate School of System and Information Engineering, University of Tsukuba, Ibaraki, Japan, Jie Li, Department of Computer Science and Engineering, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai 200240, China, Xiaohua Jia, Department of Computer Science, City University of Hong Kong, Hong Kong, and Kui Ren, Department of Computer Science and Engineering, State University of New York at Buffalo, New York, New York.

Abstract: “Cloud computing has been an essential technology for providing on‐demand computing resources as a service on the Internet. Not only enterprises but also individuals can outsource their data to the cloud without worrying about purchase and maintenance cost. The cloud storage system, however, is not fully trustable. Cloud data integrity auditing is crucial for defending against the security threats of data in the untrusted multicloud environment. Storing multiple replicas is a commonly used strategy for the availability and reliability of critical data. In this paper, we summarize and analyze the state‐of‐the‐art multiple‐replica integrity auditing schemes in cloud data storage. We present the system model and security threats of outsourcing data to the cloud with classification of ongoing developments. We also summarize the existing data integrity auditing schemes for multicloud data storage. The important open issues and potential research directions are addressed.“