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A Privacy-Preserving TPA-aided Remote Data Integrity Auditing Scheme in Clouds

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Data Science (ICPCSEE 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1058))

Abstract

The remote data integrity auditing technology can guarantee the integrity of outsourced data in clouds. Users can periodically run an integrity auditing protocol by interacting with cloud server, to verify the latest status of outsourced data. Integrity auditing requires user to take massive time-consuming computations, which would not be affordable by weak devices. In this paper, we propose a privacy-preserving TPA-aided remote data integrity auditing scheme based on Li et al.’s data integrity auditing scheme without bilinear pairings, where a third party auditor (TPA) is employed to perform integrity auditing on outsourced data for users. The privacy of outsourced data can be guaranteed against TPA in the sense that TPA could not infer its contents from the returned proofs in the integrity auditing phase. Our construction is as efficient as Li et al.’s scheme, that is, each procedure takes the same time-consuming operations in both schemes, and our solution does not increase the sizes of processed data, challenge and proof.

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Acknowledgment

This article is supported in part by the National Natural Science Foundation of China under projects 61772150 and 61862012, the Guangxi Key R&D Program under project AB17195025, the Guangxi Natural Science Foundation under grants 2018GXNSFDA281054 and 2018GXNSFAA281232, the National Cryptography Development Fund of China under project MMJJ20170217, the Guangxi Young Teachers’ Basic Ability Improvement Program under Grant 2018KY0194, and the open program of Guangxi Key Laboratory of Cryptography and Information Security under projects GCIS201621 and GCIS201702.

Author information

Authors and Affiliations

  1. School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, 541004, China

    Meng Zhao

  2. Guangxi Key Laboratory of Cryptography and Information Security, School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China

    Yong Ding, Yujue Wang & Lingang Liu

  3. School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, 541004, China

    Huiyong Wang & Bingyao Wang

Authors
  1. Meng Zhao
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  2. Yong Ding
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  3. Yujue Wang
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  4. Huiyong Wang
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  5. Bingyao Wang
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  6. Lingang Liu
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Corresponding author

Correspondence to Yong Ding .

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Editors and Affiliations

  1. Guilin University of Technology, Guilin, China

    Xiaohui Cheng

  2. Northeast Forestry University, Harbin, China

    Weipeng Jing

  3. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  4. National Academy of Guo Ding Institute of Data Science, Harbin, China

    Zeguang Lu

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Zhao, M., Ding, Y., Wang, Y., Wang, H., Wang, B., Liu, L. (2019). A Privacy-Preserving TPA-aided Remote Data Integrity Auditing Scheme in Clouds. In: Cheng, X., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2019. Communications in Computer and Information Science, vol 1058. Springer, Singapore. https://doi.org/10.1007/978-981-15-0118-0_26

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  • DOI: https://doi.org/10.1007/978-981-15-0118-0_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0117-3

  • Online ISBN: 978-981-15-0118-0

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