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2017 | OriginalPaper | Chapter

Cloud Data Integrity Checking with Deduplication for Confidential Data Storage

Authors : Hongyu Liu, Leiting Chen, Liyao Zeng

Published in: Cyberspace Safety and Security

Publisher: Springer International Publishing

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Abstract

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.

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previous chapter Efficient Privacy-Preservation Multi-factor Ranking with Approximate Search over Encrypted Big Cloud Data
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Metadata
Title
Cloud Data Integrity Checking with Deduplication for Confidential Data Storage
Authors
Hongyu Liu
Leiting Chen
Liyao Zeng
Copyright Year
2017
Book
Cyberspace Safety and Security

Print ISBN: 978-3-319-69470-2

Electronic ISBN: 978-3-319-69471-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-69471-9_34

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