Volume 2025, Issue 1 8819489
Research Article
Open Access

A Protecting-Privacy Path Query Supporting Semantic-Based Multikeyword Search Over Ciphertext Graph Data in Cloud Computing

Bin Wu

Bin Wu

School of Computer and Big Data Science , Jiujiang University , Jiujiang , Jiangxi, 332005 , China , jju.edu.cn

Jiujiang Key Laboratory of Network and Information Security , Jiujiang , Jiangxi, 332005 , China

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Zhuolin Mei

Zhuolin Mei

School of Computer and Big Data Science , Jiujiang University , Jiujiang , Jiangxi, 332005 , China , jju.edu.cn

Jiujiang Key Laboratory of Network and Information Security , Jiujiang , Jiangxi, 332005 , China

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Jiaoli Shi

Jiaoli Shi

School of Computer and Big Data Science , Jiujiang University , Jiujiang , Jiangxi, 332005 , China , jju.edu.cn

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Zongmin Cui

Zongmin Cui

School of Computer and Big Data Science , Jiujiang University , Jiujiang , Jiangxi, 332005 , China , jju.edu.cn

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Zhiqiang Zhao

Zhiqiang Zhao

School of Mathematics and Computer Science , Ningxia Normal University , Guyuan , Ningxia, 756099 , China , nxtu.cn

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Jinzhou Huang

Corresponding Author

Jinzhou Huang

School of Computer Engineering , Hubei University of Arts and Science , Xiangyang , Hubei, 441053 , China , hbuas.edu.cn

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First published: 15 May 2025
Academic Editor: Songpon Teerakanok

Abstract

With the rapid development of information technology and intelligence, there are more and more usage scenarios of graph data. Path queries have always been a hot topic of research for scholars. There are already many mature methods and ideas in the study of the path query on the plaintext graph. For the path query on graph data in the case of cloud outsourcing, it is necessary to consider both the construction of query algorithms and the protection of privacy information. The processing of graph privacy information through encryption, and then outsourcing to the cloud platform, is a common measure. The semantic-based path query supporting multikeyword search is an extended path query method, which can improve the query function. For users, it is very troublesome to access and process the encrypted graph data. In this article, we propose a protecting-privacy semantic-based multikeyword path query scheme on the ciphertext graph (PSMP). Firstly, based on the principle of searchable encryption and vector operation, a secure index is constructed, and then the cloud server uses the secure index to implement path queries. This article demonstrates its security through formal analysis and verifies its effectiveness through experimental comparison and analysis. The work of this article has a certain promoting effect on the query processing and analysis of ciphertext graph data.

Conflicts of Interest

The authors declare no conflicts of interest.

Data Availability Statement

The datasets used in this study belong to all authors and can be reasonably requested through the corresponding author.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.