Conjunctive and Disjunctive Keyword Search over Encrypted Mobile Cloud Data in Public Key System

Joint Authors

Zhang, Yu
Li, Yin
Wang, Yifan

Source

Mobile Information Systems

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