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Secure and Efficient Certificateless Provable Data Possession for Cloud-Based Data Management Systems.pdf (309.26 kB)

Secure and Efficient Certificateless Provable Data Possession for Cloud-Based Data Management Systems

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conference contribution
posted on 2021-06-25, 10:13 authored by J Zhang, J Cui, H Zhong, C Gu, L Liu
Cloud computing provides important data storage, processing and management functions for data owners who share their data with data users through cloud servers. Although cloud computing brings significant advantages to data owners, the data stored in the cloud also faces many internal/external security attacks. Existing certificateless data provider schemes have the following two common shortcomings, i.e., most of which use plaintext to store data and use the complex bilinear pairing operation. To address such shortcomings, this scheme proposes secure and efficient certificateless provable data possession for cloud-based data management systems. In our solution, the data owners and cloud servers need to register with the key generation center only once. To ensure the integrity of encrypted data, we use the public key of the cloud server to participate in signature calculation. Moreover, the third-party verifier can audit the integrity of ciphertext without downloading the whole encrypted data. Security analysis shows that our proposed scheme is provably secure under the random oracle model. An evaluation of performance shows that our proposed scheme is efficient in terms of computation and communication overheads.

History

Citation

Database Systems for Advanced Applications. DASFAA 2021. Lecture Notes in Computer Science, vol 12681. Springer, Cham. https://doi.org/10.1007/978-3-030-73194-6_5

Author affiliation

School of Informatics

Source

DASFAA 2021: Database Systems for Advanced Applications

Published in

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

12681 LNCS

Pagination

71 - 87

Publisher

Springer International Publishing

issn

0302-9743

eissn

1611-3349

isbn

9783030731939

Copyright date

2021

Available date

2021-06-25

Book series

Lecture Notes in Computer Science volume 12681

Language

en

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