Making Cloud Storage Integrity Checking Protocols Economically Smarter

Abstract

In recent years, researchers are investigating plenty of efforts to design cloud storage integrity checking protocols to ensure the outsourced data’s security. In such protocols, parameters are often chosen in an ad-hoc way. In this paper, we show that an optimal parameter selection exists in the economical sense when considering current cloud storage practices. We derive the optimal parameter selection by establishing a cost model for the previously already proposed cloud storage integrity checking protocols. The cost model takes account of storage cost, data transfer cost, and data access request cost as charged by current cloud storage practice. Besides the optimal parameter selection, we show that an optimal total cost also exists. Experimental analysis with one large Chinese cloud storage service provider, Ali OSS, further validates our model. Therefore, we believe that the optimal parameter selection suggested in this work helps the already proposed cloud storage integrity checking protocols more ready to be used in practice.