VCKSM: Verifiable conjunctive keyword search over mobile e-health cloud in shared multi-owner settings

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...

Full description

Saved in:
Bibliographic Details
Main Authors: MIAO, Yinbin, MA, Jianfeng, LIU, Ximeng, JIANG, Qi, ZHANG, Junwei, SHEN, Limin, LIU, Zhiquan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/3677
https://ink.library.smu.edu.sg/context/sis_research/article/4679/viewcontent/1_s20_S1574119217300044_main.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-4679
record_format dspace
spelling sg-smu-ink.sis_research-46792020-01-16T00:34:36Z VCKSM: Verifiable conjunctive keyword search over mobile e-health cloud in shared multi-owner settings MIAO, Yinbin MA, Jianfeng LIU, Ximeng JIANG, Qi ZHANG, Junwei SHEN, Limin LIU, Zhiquan 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. 2017-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3677 info:doi/10.1016/j.pmcj.2017.06.016 https://ink.library.smu.edu.sg/context/sis_research/article/4679/viewcontent/1_s20_S1574119217300044_main.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Searchable encryption Multi-owner settings Conjunctive keyword Correctness Keyword guessing attacks Databases and Information Systems Information Security Medicine and Health Sciences
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Searchable encryption
Multi-owner settings
Conjunctive keyword
Correctness
Keyword guessing attacks
Databases and Information Systems
Information Security
Medicine and Health Sciences
spellingShingle Searchable encryption
Multi-owner settings
Conjunctive keyword
Correctness
Keyword guessing attacks
Databases and Information Systems
Information Security
Medicine and Health Sciences
MIAO, Yinbin
MA, Jianfeng
LIU, Ximeng
JIANG, Qi
ZHANG, Junwei
SHEN, Limin
LIU, Zhiquan
VCKSM: Verifiable conjunctive keyword search over mobile e-health cloud in shared multi-owner settings
description 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.
format text
author MIAO, Yinbin
MA, Jianfeng
LIU, Ximeng
JIANG, Qi
ZHANG, Junwei
SHEN, Limin
LIU, Zhiquan
author_facet MIAO, Yinbin
MA, Jianfeng
LIU, Ximeng
JIANG, Qi
ZHANG, Junwei
SHEN, Limin
LIU, Zhiquan
author_sort MIAO, Yinbin
title VCKSM: Verifiable conjunctive keyword search over mobile e-health cloud in shared multi-owner settings
title_short VCKSM: Verifiable conjunctive keyword search over mobile e-health cloud in shared multi-owner settings
title_full VCKSM: Verifiable conjunctive keyword search over mobile e-health cloud in shared multi-owner settings
title_fullStr VCKSM: Verifiable conjunctive keyword search over mobile e-health cloud in shared multi-owner settings
title_full_unstemmed VCKSM: Verifiable conjunctive keyword search over mobile e-health cloud in shared multi-owner settings
title_sort vcksm: verifiable conjunctive keyword search over mobile e-health cloud in shared multi-owner settings
publisher Institutional Knowledge at Singapore Management University
publishDate 2017
url https://ink.library.smu.edu.sg/sis_research/3677
https://ink.library.smu.edu.sg/context/sis_research/article/4679/viewcontent/1_s20_S1574119217300044_main.pdf
_version_ 1770573638195478528