Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)

Large Universe Ciphertext-Policy Attribute-Based Encryption with Efficient Revocation

Authors
Lei Sun, Shuaili Wang, Zuohui Li, Guangbo Wang
Corresponding Author
Lei Sun
Available Online April 2017.
DOI
10.2991/eame-17.2017.58How to use a DOI?
Keywords
ciphertext-policy attribute-based encryption; large universe; attribute level user revocatio
Abstract

In this paper, we propose a large universe ciphertext-policy attribute based encryption (ABE) scheme with efficient revocation. To achieve the revocation, we divide the master key into two parts: delegation key and secret key, which are sent to the cloud provider and user separately. Note that, our scheme is proved selectively secure in the standard model under q-type assumption. Finally, we give the concrete analysis associated with our scheme including security requirements, functionality and performance.

Copyright
© 2017, 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 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-332-6
ISSN
2352-5401
DOI
10.2991/eame-17.2017.58How to use a DOI?
Copyright
© 2017, 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  - Lei Sun
AU  - Shuaili Wang
AU  - Zuohui Li
AU  - Guangbo Wang
PY  - 2017/04
DA  - 2017/04
TI  - Large Universe Ciphertext-Policy Attribute-Based Encryption with Efficient Revocation
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
PB  - Atlantis Press
SP  - 243
EP  - 249
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-17.2017.58
DO  - 10.2991/eame-17.2017.58
ID  - Sun2017/04
ER  -