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International Conference on Provable Security

ProvSec 2016: Provable Security pp 101–111Cite as

Efficient Dynamic Provable Data Possession from Dynamic Binary Tree

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10005))

Abstract

In order to ensure the remote data integrity in cloud storage, provable data possession (PDP) is of crucial importance. For most clients, dynamic data operations are indispensable. This paper proposes an efficient dynamic PDP scheme for verifying the remote dynamic data integrity in an untrusted cloud storage. Our dynamic PDP scheme is constructed from dynamic binary tree and bilinear pairings, supporting the dynamic data operations, such as, insertion, deletion, modification. From the computation cost, communication cost, and storage cost, our proposed dynamic PDP scheme is efficient. On the other hand, our proposed concrete dynamic PDP scheme is provably secure.

H. Wang—This work is partly supported by the Natural Science Foundation of China through projects (61272522), by the Program for Liaoning Excellent Talents in University through project (LR2014021), and by the Natural Science Foundation of Liaoning Province (2014020147).

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Author information

Authors and Affiliations

  1. Nanjing University of Finance and Economics, Nanjing, China

    Changfeng Li

  2. Nangjing University of Posts and Telecommunications, Nanjing, China

    Huaqun Wang

Authors
  1. Changfeng Li
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  2. Huaqun Wang
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Corresponding author

Correspondence to Huaqun Wang .

Editor information

Editors and Affiliations

  1. University of Surrey , Guildford, United Kingdom

    Liqun Chen

  2. Nanjing University of Finance and Economics, Nanjing, China

    Jinguang Han

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Li, C., Wang, H. (2016). Efficient Dynamic Provable Data Possession from Dynamic Binary Tree. In: Chen, L., Han, J. (eds) Provable Security. ProvSec 2016. Lecture Notes in Computer Science(), vol 10005. Springer, Cham. https://doi.org/10.1007/978-3-319-47422-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-47422-9_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47421-2

  • Online ISBN: 978-3-319-47422-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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