Zero knowledge proofs for cloud storage integrity checking
This addresses security concerns for cloud storage users by ensuring data privacy during integrity checks, but it appears incremental as it builds on existing remote integrity proofs.
The paper tackles the problem of defining zero-knowledge proof algorithms for cloud storage integrity checking, introducing a novel definition of data privacy that ensures the cloud server cannot reveal any information about stored data, and provides a comprehensive study and algorithm capturing integrity, confidentiality, privacy, and soundness.
With the wide application of cloud storage, cloud security has become a crucial concern. Related works have addressed security issues such as data confidentiality and integrity, which ensure that the remotely stored data are well maintained by the cloud. However, how to define zero-knowledge proof algorithms for stored data integrity check has not been formally defined and investigated. We believe that it is important that the cloud server is unable to reveal any useful information about the stored data. In this paper, we introduce a novel definition of data privacy for integrity checks, which describes very high security of a zero-knowledge proof. We found that all other existing remote integrity proofs do not capture this feature. We provide a comprehensive study of data privacy and an integrity check algorithm that captures data integrity, confidentiality, privacy, and soundness.