Collaborative outsourced data integrity checking in multi-cloud environment

Abstract

Cloud storage has been widely used to in services such as data outsourcing and resource sharing due to its convenience, low cost and flexibility. However, users will lose the physical control of their data after outsourcing; consequently, ensuring the integrity of their outsourced data becomes an important security requirement of multi-cloud storage applications. In this paper, we present a collaborative multicloud data integrity audition scheme, which is based on BLS (Boneh-Lynn-Shacham) signatures and homomorphic tags. According to the proposed scheme, users can audit their outsourced data in a one-round challenge-response process with low performance overhead. Our scheme also enables public verification and supports dynamic data maintenance. The theoretical analysis and experiment results illustrate that our scheme is provably secure and efficient.