Publication Type
Journal Article
Version
acceptedVersion
Publication Date
9-2017
Abstract
Searchable encryption (SE) is a promising technique which enables cloud users to conduct search over encrypted cloud data in a privacy-preserving way, especially for the electronic health record (EHR) system that contains plenty of medical history, diagnosis, radiology images, etc. In this paper, we focus on a more practical scenario, also named as the shared multi-owner settings, where each e-health record is co-owned by a fixed number of parties. Although the existing SE schemes under the unshared multi-owner settings can be adapted to this shared scenario, these schemes have to build multiple indexes,which definitely incur higher computational overhead. To save bandwidth and computing resources in cloud servers and guarantee the correctness of search results, we present a secure cryptographic primitive, namely verifiable conjunctive keyword search over mobile e-health cloud scheme, in the shared multi-owner settings by utilizing multi signatures technique. Formal security analysis proves that our scheme is secure against the keyword guessing attacks in standard model. Empirical study using a real-world dataset justifies that our scheme is efficient and feasible in practical applications.
Keywords
Searchable encryption, Multi-owner settings, Conjunctive keyword, Correctness, Keyword guessing attacks
Discipline
Databases and Information Systems | Information Security | Medicine and Health Sciences
Research Areas
Cybersecurity
Publication
Pervasive and Mobile Computing
Volume
40
First Page
205
Last Page
219
ISSN
1574-1192
Identifier
10.1016/j.pmcj.2017.06.016
Publisher
Elsevier
Citation
MIAO, Yinbin; MA, Jianfeng; LIU, Ximeng; JIANG, Qi; ZHANG, Junwei; SHEN, Limin; and LIU, Zhiquan.
VCKSM: Verifiable conjunctive keyword search over mobile e-health cloud in shared multi-owner settings. (2017). Pervasive and Mobile Computing. 40, 205-219.
Available at: https://ink.library.smu.edu.sg/sis_research/3677
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/10.1016/j.pmcj.2017.06.016
Included in
Databases and Information Systems Commons, Information Security Commons, Medicine and Health Sciences Commons