"Practical attribute-based multi-keyword search scheme in mobile crowds" by Yinbin MIAO, Jianfeng MA et al.
 

Publication Type

Journal Article

Version

acceptedVersion

Publication Date

8-2018

Abstract

Cloud-based mobile crowd-sourcing has been an attractive solution to provide data storage and share services for resource-limited mobile devices in a privacy-preserving manner, but how to enable mobile users to issue search queries and achieve fine-grained access control over ciphertexts simultaneously is still a big challenge for various circumstances. Although the ciphertext-policy attribute-based keyword search technology combining attribute-based encryption with searchable encryption has become a hot research topic, it just deals with equivalent attributes rather than more practical attribute comparisons, like “greater than” or “less than.” In this paper, we devise a practical cryptographic primitive called attribute-based multi-keyword search scheme to support comparable attributes through utilizing 0-encoding and 1-encoding. Formal security analysis proves that our scheme is selectively secure against chosen-keyword attack in generic bilinear group model and extensive experiments using real-world dataset demonstrate that our scheme can drastically decrease both computational and storage costs.

Keywords

Mobile crowdsourcing, Attribute-based keyword search, 0-encoding and 1-encoding, Chosen-keyword attack

Discipline

Cybersecurity | Information Security

Research Areas

Cybersecurity

Publication

IEEE Internet of Things Journal

Volume

5

Issue

4

First Page

3008

Last Page

3018

ISSN

2372-2541

Identifier

10.1109/JIOT.2017.2779124

Publisher

IEEE

Embargo Period

2-10-2025

Additional URL

https://doi.org/10.1109/JIOT.2017.2779124

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