Privacy-preserving certificateless provable data possession scheme for big data storage on cloud
Date
2017
Authors
He, D.
Kumar, N.
Wang, H.
Wang, L.
Choo, K.K.R.
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Journal article
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Applied Mathematics and Computation, 2017; 314:31-43
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Abstract
Cloud storage is generally regarded as one of the most promising technologies to address various big data challenges (e.g. secure storage for big data), due to the capability to provide scalability and functio nal diversity. However, how to efficiently audit the integrity of outsourced data remains a research challenge. Provable data possession (PDP) scheme can potentially be used to verify the integrity of outsourced data without downloading such data. However, existing PDP schemes suffer from either certificate management or key escrow problems. A number of certificateless PDP (CLPDP) schemes for the public cloud storage have been designed to address the above problems. However, most of them do not offer privacy protection from the verifier (i.e. verifier could obtain the data stored in the cloud when verifying their integrity). In this paper, we propose a privacy-preserving CLPDP (PP-CLPDP) scheme to address certificate management and key escrow problems, as well as ensuring privacy protection. We also prove the security and evaluate the performance of our proposed PP-CLPDP scheme.
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Copyright 2017 Elsevier