Data loss is a severe issue in cloud storage due to a number of confidential files stored on the cloud and thus, cloud servers have become the target of attackers. In this paper, we propose a cloud data integrity checking protocol with deduplication, which can guarantee the remote data integrity while achieving secure deduplication within the same framework. Another bonus of our construction is privacy preserving of the outsourced data, which is denoted as zero-knowledge data privacy, indicating that the third party auditor learns nothing about the stored data during the auditing process. In addition, we demonstrate the performance of our construction by developing a prototype of the protocol.
CITATION STYLE
Liu, H., Chen, L., & Zeng, L. (2017). Cloud data integrity checking with deduplication for confidential data storage. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10581 LNCS, pp. 460–467). Springer Verlag. https://doi.org/10.1007/978-3-319-69471-9_34
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