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A Provable Data Possession Scheme with Data Hierarchy in Cloud

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9589))

Abstract

In recent years, numerous provable data possession (PDP) schemes have been proposed for checking the availability and integrity of data stored on cloud storage server (CSS) which is not fully trusted. However, these schemes do not work with specific subsets of verifiers, and they do not efficiently support dynamic enrollment and revocation of verifiers. In this paper, we propose a novel provable data possession scheme under hierarchical data framework in cloud environment. Our scheme can be considered as a generalization of privately verifiable PDP schemes. Specifically, data of different values are integrated into a data hierarchy, and clients are classified and authorized different access permissions according to their amounts of payment. Furthermore, our scheme allows the data owner to efficiently enroll and revoke clients. The scheme satisfies existential unforgeability against malicious CSS based on the hardness of the computational Diffie-Hellman problem.

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Acknowledgements

The first author would like to thank Dr. Khoa Nguyen for many helpful and valuable comments on the write-up. We are also very grateful to four anonymous referees, who pointed out several inaccuracies and suggested improvements in the presentation of the paper. This work is supported by the National 973 Program (Grant No. 2013CB329605), the National Natural Science Foundation of China (Grant Nos. 61572132, 61170264, 61472032, and U1405255, and the Natural Science Foundation of Fujian Province (Grant No. 2015J01239).

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Correspondence to Changlu Lin .

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Lin, C., Luo, F., Wang, H., Zhu, Y. (2016). A Provable Data Possession Scheme with Data Hierarchy in Cloud. In: Lin, D., Wang, X., Yung, M. (eds) Information Security and Cryptology. Inscrypt 2015. Lecture Notes in Computer Science(), vol 9589. Springer, Cham. https://doi.org/10.1007/978-3-319-38898-4_18

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  • DOI: https://doi.org/10.1007/978-3-319-38898-4_18

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-38898-4

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