Chapter 3 - Secure provable data possession for big data storage

Abstract

Object storage systems provide an ocean of space within which a very large quantity of data objects can be stored reliably, guaranteeing clients a prime opportunity to obtain big data. In this chapter, we propose a secure provable data possession (SPDP) scheme for object storage systems, so as to avoid the high-risk security issues of big data application. Through interactive verification and hierarchical structure optimizing, we are able to greatly improve the security and efficiency of checking during the course of the verification of metadata. In particular, a new secure protection strategy is presented for detecting data corruption and preventing data loss. Finally, we conduct a statistical experiment evaluation to test the performance of our strategy. The results of the experiments show that under the approved directories' optimization and protection strategy, our scheme can guarantee the object storage security and enhance the performance of storage data analysis. In this chapter, we emphasize the construction of security and efficiency of the object storage system and guarantee the ability of clients to achieve their resources flexibly. We first present our object storage system through composition analysis. Subsequently the framework of SPDP is described by using SPDP definition, verification algorithm, and hierarchical structure. By optimizing approved directories, the distributed metadata can be efficiently updated or revoked. Moreover, a novel secure protection strategy is proposed for detecting data corruption and preventing data loss. Our experiment results also validate the effectiveness of our strategy.