Efficient, dynamic and identity-based Remote Data Integrity Checking for multiple replicas

Abstract Nowadays, cloud storage plays an increasingly important role in our daily life. However, the cloud users do not have the physical possession of their own data anymore. To confirm whether the outsourced files are maintained intact without downloading them entirely, a mechanism namely Remote Data Integrity Checking (RDIC) is invented. Currently, some RDIC schemes allow the data owners with limited computation or communication power to delegate the checking task to a third-party verifier. However, most of these schemes rely on the complicated and resource consuming public key infrastructure (PKI). In this paper, we propose a novel identity-based RDIC scheme, namely Efficient, Dynamic and Identity-based Multiple Replication Provable Data Possession (EDID-MRPDP) without the burden of PKI. We introduce a new construction of Homomorphic Verifiable Tag (HVT) and a novel data structure namely Compressed Authentication Array (CAA), which allow EDID-MRPDP to perform batch verification for multiple data owners and cloud servers simultaneously and efficiently, both from computation and communication aspects. To the best of our knowledge, EDID-MRPDP is the first ID-based RDIC scheme with full dynamic updates and multi-replica batch checking. We provide comprehensive correctness and soundness proofs of EDID-MRPDP. Meanwhile, the detailed performance analyses and simulations show that EDID-MRPDP is practical for large-scale cloud applications.