Publication Type
Journal Article
Version
acceptedVersion
Publication Date
5-2018
Abstract
Searchable encryption allows a cloud server to conduct keyword search over encrypted data on behalf of the data users without learning the underlying plaintexts. However, most existing searchable encryption schemes only support single or conjunctive keyword search, while a few other schemes that are able to perform expressive keyword search are computationally inefficient since they are built from bilinear pairings over the composite-order groups. In this paper, we propose an expressive public-key searchable encryption scheme in the prime-order groups, which allows keyword search policies (i.e., predicates, access structures) to be expressed in conjunctive, disjunctive or any monotonic Boolean formulas and achieves significant performance improvement over existing schemes. We formally define its security, and prove that it is selectively secure in the standard model. Also, we implement the proposed scheme using a rapid prototyping tool called Charm [37], and conduct several experiments to evaluate it performance. The results demonstrate that our scheme is much more efficient than the ones built over the composite-order groups.
Keywords
attribute-based encryption, Searchable encryption, cloud computing, expressiveness
Discipline
Information Security
Research Areas
Cybersecurity
Publication
IEEE Transactions on Dependable and Secure Computing
Volume
15
Issue
3
First Page
409
Last Page
422
ISSN
1545-5971
Identifier
10.1109/TDSC.2016.2599883
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
CUI, Hui; WAN, Zhiguo; DENG, Robert H.; WANG, Guilin; and Yingjiu LI.
Efficient and expressive keyword search over encrypted data in the cloud. (2018). IEEE Transactions on Dependable and Secure Computing. 15, (3), 409-422.
Available at: https://ink.library.smu.edu.sg/sis_research/3380
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/TDSC.2016.2599883