ET-DMD: An Error-Tolerant Scheme to Detect Malicious File Deletion on Distributed Storage

Distributed storage is a scheme to store data in networked storage services, which is the basis of popular cloud storage solutions. Although this scheme has huge benefits in reducing maintenance and operation cost, it has several security concerns. Among them, malicious file deletion by the storage providers is a top concern. In this paper, we develop a novel error-tolerant solution, ET-DME, to effectively detect malicious file deletion behaviors in distributed storage services. Our approach prevents malicious servers from forging evidence to bypass data auditing test. In addition, our approach does not limit the number of challenges made by the client. Our approach also has low computation and communication overhead.