Efficient Public Verification of Data Integrity for Cloud Storage Systems from Indistinguishability Obfuscation - 2017


Cloud storage services enable users to outsource their knowledge to cloud servers to avoid wasting local data storage costs. But, in contrast to using local storage devices, users do not physically manage the data stored on cloud servers; therefore, the info integrity of the outsourced knowledge has become a difficulty. Several public verification schemes have been proposed to enable a third-party auditor to verify the information integrity for users. These schemes build an impractical assumption-the auditors have enough computation capability to bear expensive verification costs. In this paper, we tend to propose a unique public verification theme for the cloud storage using indistinguishability obfuscation, which requires a light-weight computation on the auditor and therefore the delegate most computation to the cloud. We have a tendency to further extend our theme to support batch verification and knowledge dynamic operations, where multiple verification tasks from different users will be performed efficiently by the auditor and the cloud-stored information can be updated dynamically. Compared with alternative existing works, our scheme considerably reduces the auditor's computation overhead. Moreover, the batch verification overhead on the auditor aspect in our theme is freelance of the number of verification tasks. Our scheme could be practical in a very situation, where the info integrity verifications are executed frequently, and the amount of verification tasks (i.e., the quantity of users) is various; even if the auditor is supplied with a low-power device, it will verify the data integrity efficiently. We prove the protection of our scheme underneath the strongest security model proposed by Shi et al. (ACM CCS 2013). Finally, we have a tendency to conduct a performance analysis to demonstrate that our scheme is more efficient than different existing works in terms of the auditor's Communication and computation potency.

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