Identity-Based Privacy Preserving Remote Data Integrity Checking for Cloud Storage

Although cloud storage service enables people easily maintain and manage amounts of data with lower cost, it cannot ensure the integrity of people's data. In order to audit the correctness of the data without downloading them, many remote data integrity checking (RDIC) schemes have been presented. Most existing schemes ignore the important issue of data privacy preserving and suffer from complicated certificate management derived from public key infrastructure. To overcome these shortcomings, this article proposes a new Identity-based RDIC scheme that makes use of homomorphic verifiable tag to decrease the system complexity. The original data in proof are masked by random integer addition, which protects the verifier from obtaining any knowledge about the data during the integrity checking process. Our scheme is proved secure under the assumption of computational Diffie-Hellman problem. Experiment result exhibits that our scheme is very efficient and feasible for real-life applications.

Automated summary

This article proposes a new Identity-based RDIC scheme that utilizes a homomorphic verifiable tag to reduce system complexity, while also masking original data with random integer addition to protect data privacy. The scheme is proven to be secure under the assumption of computational Diffie-Hellman problem and is shown to be efficient and feasible for real-life applications through experiment results.