SStore: An Efficient and Secure Provable Data Auditing Platform for Cloud

As more internet users opt to store their data in cloud storage, ensuring data integrity becomes a paramount concern. The emerging provable data possession (PDP) scheme enables auditors to verify data integrity with reduced bandwidth consumption compared to hash-based alternatives. Nevertheless, most existing PDP variants rely on a centralized node for generating or maintaining user keys, creating a potential single point of failure. Moreover, previous PDP schemes could only detect whether challenged data blocks were corrupted, lacking the ability to pinpoint affected blocks precisely. To tackle these challenges, we propose a novel PDP scheme that eliminates the necessity for a key management center and supports the localization of corrupted data blocks. In our scheme, users no longer need to retain private keys once they cease performing data dynamic operations, thus liberating them from reliance on external entities for key maintenance. Moreover, the new scheme utilizes existing authenticators in the cloud to identify corrupted file blocks, eliminating the necessity of storing hash values for these data blocks as seen in most of existing implementations. This effectively reduces required storage space. Furthermore, we introduce SStore, a decentralized cloud storage platform that incorporates the new PDP scheme to verify data integrity. SStore facilitates public auditing of user data, thereby enhancing transparency in the data verification procedure. Moreover, SStore leverages basic algebraic operations for data auditing, significantly increasing its efficiency. We analyze the security of the new PDP scheme, and evaluate the performance of both the PDP scheme and SStore to demonstrate their efficiency.