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Security and Communication Networks
Volume 2017 (2017), Article ID 3596205, 11 pages
https://doi.org/10.1155/2017/3596205
Research Article

Verifiable Outsourced Decryption of Attribute-Based Encryption with Constant Ciphertext Length

1College of Computer and Information, Hohai University, Nanjing 211000, China
2School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350117, China
3School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China

Correspondence should be addressed to Jiguo Li; moc.361@8861gjl

Received 28 June 2016; Accepted 1 September 2016; Published 10 January 2017

Academic Editor: Ángel Martín Del Rey

Copyright © 2017 Jiguo Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Outsourced decryption ABE system largely reduces the computation cost for users who intend to access the encrypted files stored in cloud. However, the correctness of the transformation ciphertext cannot be guaranteed because the user does not have the original ciphertext. Lai et al. provided an ABE scheme with verifiable outsourced decryption which helps the user to check whether the transformation done by the cloud is correct. In order to improve the computation performance and reduce communication overhead, we propose a new verifiable outsourcing scheme with constant ciphertext length. To be specific, our scheme achieves the following goals. Our scheme is verifiable which ensures that the user efficiently checks whether the transformation is done correctly by the CSP. The size of ciphertext and the number of expensive pairing operations are constant, which do not grow with the complexity of the access structure. The access structure in our scheme is AND gates on multivalued attributes and we prove our scheme is verifiable and it is secure against selectively chosen-plaintext attack in the standard model. We give some performance analysis which indicates that our scheme is adaptable for various limited bandwidth and computation-constrained devices, such as mobile phone.