Conjunctive and Disjunctive Keyword Search over Encrypted Mobile Cloud Data in Public Key System
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Telecommunications Engineering
Abstract EN
The searchable encryption scheme can perform keywords search operation directly over encrypted data without decryption, which is crucial to cloud storage, and has attracted a lot of attention in these years.
However, it is still an open problem to develop an efficient public key encryption scheme supporting conjunctive and a disjunctive keyword search simultaneously.
To achieve this goal, we introduce a keyword conversion method that can transform the query and index keywords into a vector space model.
Through applying a vector space model to a predicate encryption scheme supporting inner product, we propose a novel public key encryption scheme with conjunctive and disjunctive keyword search.
The experiment result demonstrates that our scheme is more efficient in both time and space as well as more suitable for the mobile cloud compared with the state-of-art schemes.
American Psychological Association (APA)
Zhang, Yu& Li, Yin& Wang, Yifan. 2018. Conjunctive and Disjunctive Keyword Search over Encrypted Mobile Cloud Data in Public Key System. Mobile Information Systems،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1204765
Modern Language Association (MLA)
Zhang, Yu…[et al.]. Conjunctive and Disjunctive Keyword Search over Encrypted Mobile Cloud Data in Public Key System. Mobile Information Systems No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1204765
American Medical Association (AMA)
Zhang, Yu& Li, Yin& Wang, Yifan. Conjunctive and Disjunctive Keyword Search over Encrypted Mobile Cloud Data in Public Key System. Mobile Information Systems. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1204765
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204765