Expressive query over outsourced encrypted data

Data security and privacy concerns in cloud storage services compel data owners to encrypt their sensitive data before outsourcing. Standard encryption systems, however, hinder users from issuing search queries on encrypted data. Though various systems for search over encrypted data have been propos...

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Main Authors: YANG, Yang, LIU, Ximeng, DENG, Robert H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/3949
https://ink.library.smu.edu.sg/context/sis_research/article/4951/viewcontent/ExpressiveQuery_OutsourcedEncrytedData_2018_am.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-49512020-03-30T02:35:08Z Expressive query over outsourced encrypted data YANG, Yang LIU, Ximeng DENG, Robert H. Data security and privacy concerns in cloud storage services compel data owners to encrypt their sensitive data before outsourcing. Standard encryption systems, however, hinder users from issuing search queries on encrypted data. Though various systems for search over encrypted data have been proposed in the literature, existing systems use different encrypted index structures to conduct search on different search query patterns and hence are not compatible with each other. In this paper, we propose a query over encrypted data system which supports expressive search query patterns, such as single/conjunctive keyword query, range query, boolean query and mixed boolean query, all using a single encrypted index structure. To the best of our knowledge, the proposed system enables the most expressive query pattern search among all the existing solutions. In addition, the system allows data users to simultaneously query over encrypted documents from multiple data owners using one query trapdoor and supports flexible user authorization and revocation. We show that our system is secure and resists keyword guessing attack. We also conduct extensive experiments and demonstrate that the system is more efficient than other public key searchable encryption systems. 2018-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3949 info:doi/10.1016/j.ins.2018.02.017 https://ink.library.smu.edu.sg/context/sis_research/article/4951/viewcontent/ExpressiveQuery_OutsourcedEncrytedData_2018_am.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 Query over encrypted data Range search Boolean search Subset search multiple users Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Query over encrypted data
Range search
Boolean search
Subset search
multiple users
Information Security
spellingShingle Query over encrypted data
Range search
Boolean search
Subset search
multiple users
Information Security
YANG, Yang
LIU, Ximeng
DENG, Robert H.
Expressive query over outsourced encrypted data
description Data security and privacy concerns in cloud storage services compel data owners to encrypt their sensitive data before outsourcing. Standard encryption systems, however, hinder users from issuing search queries on encrypted data. Though various systems for search over encrypted data have been proposed in the literature, existing systems use different encrypted index structures to conduct search on different search query patterns and hence are not compatible with each other. In this paper, we propose a query over encrypted data system which supports expressive search query patterns, such as single/conjunctive keyword query, range query, boolean query and mixed boolean query, all using a single encrypted index structure. To the best of our knowledge, the proposed system enables the most expressive query pattern search among all the existing solutions. In addition, the system allows data users to simultaneously query over encrypted documents from multiple data owners using one query trapdoor and supports flexible user authorization and revocation. We show that our system is secure and resists keyword guessing attack. We also conduct extensive experiments and demonstrate that the system is more efficient than other public key searchable encryption systems.
format text
author YANG, Yang
LIU, Ximeng
DENG, Robert H.
author_facet YANG, Yang
LIU, Ximeng
DENG, Robert H.
author_sort YANG, Yang
title Expressive query over outsourced encrypted data
title_short Expressive query over outsourced encrypted data
title_full Expressive query over outsourced encrypted data
title_fullStr Expressive query over outsourced encrypted data
title_full_unstemmed Expressive query over outsourced encrypted data
title_sort expressive query over outsourced encrypted data
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/sis_research/3949
https://ink.library.smu.edu.sg/context/sis_research/article/4951/viewcontent/ExpressiveQuery_OutsourcedEncrytedData_2018_am.pdf
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