Abstract

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.

Keywords:
Data integrity Computer science Soundness Cloud computing Mathematical proof Zero-knowledge proof Computer security Confidentiality Cloud storage Information privacy Data security Encryption Cryptography Programming language Mathematics

Metrics

7
Cited By
0.85
FWCI (Field Weighted Citation Impact)
12
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence
Security and Verification in Computing
Physical Sciences →  Computer Science →  Artificial Intelligence
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