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Data Integrity Checking Supporting Reliable Data Migration in Cloud Storage

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Wireless Algorithms, Systems, and Applications (WASA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12384))

Abstract

With the rapid development of cloud computing, more and more users are willing to employ cloud storage. As a result, an increasing number of companies invest cloud storage thus provide users with data storage services, which equipped with distinct quality, e.g., storage capacity, access speed, security, prices and reliability. To enjoy more suitable data storage service, the user may change the cloud service providers. As a result, outourced data migration between two different cloud servers has become a fundamental requirement. Therefore, how to securely migrate outsourced data from one semi-trusted cloud to another becomes a primary concern of user. To solve this problem, we construct a blockchain-based publicly verifiable outsourced data migration scheme supporting integrity verification. In the proposed scheme, the user can migrate outsourced data blocks from the original cloud to the target cloud without retrieving them from the original cloud. Meanwhile, the target cloud can check the data integrity to guarantee that the data blocks are migrated integrally. Moreover, by making use of the decentration of blockcahin, the proposed scheme can achieve public verifiability without requiring any third party auditor. Finally, we provide the security analysis and efficiency evaluation, which can respectively demonstrate the security and practicality of the novel proposed scheme.

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Notes

  1. 1.

    In a Merkle hash tree, the auxiliary authentication information is a data set which contains all of the sibling nodes on the path from the desired leaf node to the root node.

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Acknowledgement

This work was supported by the Opening Project of Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, the National Natural Science Foundation of China (No. 61962015), the Science and Technology Program of Guangxi (No. AB17195045) and the Natural Science Foundation of Guangxi (No. 2016GXNSFAA380098).

Author information

Authors and Affiliations

  1. Guangxi Colleges and Universities Key Laboratory of Cloud Computing and Complex Systems, Guilin University of Electronic Technology, Guilin, 541004, China

    Changsong Yang, Xiaoling Tao & Sufang Wang

  2. Guangxi Cooperative Innovation Center of Cloud Computing and Big Data, Guilin University of Electronic Technology, Guilin, 541004, China

    Changsong Yang, Xiaoling Tao & Feng Zhao

  3. Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, Shanghai, 200240, China

    Changsong Yang

Authors
  1. Changsong Yang
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  2. Xiaoling Tao
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  3. Sufang Wang
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  4. Feng Zhao
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Corresponding author

Correspondence to Changsong Yang .

Editor information

Editors and Affiliations

  1. Shandong University, Qingdao, China

    Dongxiao Yu

  2. TU Berlin, Berlin, Germany

    Falko Dressler

  3. Qilu University of Technology, Jinan, China

    Jiguo Yu

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Yang, C., Tao, X., Wang, S., Zhao, F. (2020). Data Integrity Checking Supporting Reliable Data Migration in Cloud Storage. In: Yu, D., Dressler, F., Yu, J. (eds) Wireless Algorithms, Systems, and Applications. WASA 2020. Lecture Notes in Computer Science(), vol 12384. Springer, Cham. https://doi.org/10.1007/978-3-030-59016-1_51

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  • DOI: https://doi.org/10.1007/978-3-030-59016-1_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59015-4

  • Online ISBN: 978-3-030-59016-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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