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Privacy-preserving certificateless provable data possession scheme for big data storage on cloud

机译:隐私保留无可证明的数据占有数据占有计划,用于云大数据存储

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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 functional 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. (C) 2017 Elsevier Inc. All rights reserved.
机译:由于能够提供可扩展性和功能分集,云存储通常被视为解决各种大数据挑战(例如,对大数据的安全存储)的技术之一。但是,如何有效审核外包数据的完整性仍然是研究挑战。可提供的数据占有(PDP)方案可能用于验证外包数据的完整性而不下载此类数据。但是,现有的PDP方案遭受证书管理或主要托管问题。旨在解决上述问题的许多无证书PDP(CLPDP)方案。但是,其中大多数都不提供验证者的隐私保护(即验证者可以在验证其完整性时获取存储在云中的数据)。在本文中,我们提出了隐私保留的CLPDP(PP-CLPDP)计划,以解决证书管理和主要托管问题,以及确保隐私保护。我们还证明了安全性并评估了我们提出的PP-CLPDP计划的表现。 (c)2017年Elsevier Inc.保留所有权利。

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