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Expressive query over outsourced encrypted data
- Source :
- Information Sciences. :33-53
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- 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.
- Subjects :
- 021110 strategic, defence & security studies
Information Systems and Management
Information retrieval
Web search query
Range query (data structures)
business.industry
Computer science
InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL
Data_MISCELLANEOUS
0211 other engineering and technologies
Data security
020206 networking & telecommunications
02 engineering and technology
Range query (database)
Encryption
Computer Science Applications
Theoretical Computer Science
Public-key cryptography
Artificial Intelligence
Control and Systems Engineering
0202 electrical engineering, electronic engineering, information engineering
business
Cloud storage
Software
Boolean conjunctive query
Subjects
Details
- ISSN :
- 00200255
- Database :
- OpenAIRE
- Journal :
- Information Sciences
- Accession number :
- edsair.doi...........1c62e2b0b153cddbf4c17794ca9d1402
- Full Text :
- https://doi.org/10.1016/j.ins.2018.02.017