Identity-Based Privacy Preserving Remote Data Integrity Checking With a Designated Verifier

The remote data possession checking mechanism can effectively verify the integrity of outsourced data, which can usually be divided into public verification and private verification. The verifier of public verification can be any cloud user, while private verification can only be the data owner. However, in most practical situations, the data owner expects that only a specific verifier can perform integrity checking tasks and that verifier cannot gain any knowledge about the data. Yan
et al.
proposed a remote data possession checking scheme with the designated verifier, which can guarantee that only the designated verifier can check data integrity, whereas others cannot do it. However, this scheme relies on public key infrastructure technology and does not consider data privacy protection issues. To overcome these shortcomings, we propose an identity-based remote data possession checking scheme that satisfies the data owner’s requirement to specify a unique verifier. Moreover, in this scheme, we use a random integer to blind data integrity proof to protect data privacy and use Merkle hash tree structure to achieve dynamic update of data. At the same time, our scheme can avoid the complex certificate management in public key infrastructure. We proved the safety of our scheme based on the discrete logarithm assumption and the computational Diffie-Hellman assumption. Theoretical analysis and experimental results show that our scheme is feasible and effective in practical applications.