Proceedings of the 2016 International Conference on Intelligent Control and Computer Application

An Effective Scheme for Provable Data Possession

Authors
Shanyue Bu, Mengdie Huang, Kun Yu
Corresponding Author
Shanyue Bu
Available Online January 2016.
DOI
10.2991/icca-16.2016.82How to use a DOI?
Keywords
Provable data possession, NTRU, Cloud storage, Data integrity
Abstract

At present, almost all the provable data possession schemes require a large number of exponent calculations. In this paper a new scheme based on the homomorphy of NTRU algorithm is proposed. The scheme includes modules of Key Generation, Tag Generation, Challenge, Proof Generation, and Verification. This scheme requires only plus, minus, multiplication and modular computation. The correctness and security of the scheme are analyzed and the result shows that this scheme is reliable. Compared with other existing schemes, this scheme is with higher security, less computation, storage and communication cost.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
10.2991/icca-16.2016.82
ISSN
2352-538X
DOI
10.2991/icca-16.2016.82How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shanyue Bu
AU  - Mengdie Huang
AU  - Kun Yu
PY  - 2016/01
DA  - 2016/01
TI  - An Effective Scheme for Provable Data Possession
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 344
EP  - 348
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.82
DO  - 10.2991/icca-16.2016.82
ID  - Bu2016/01
ER  -