A confusion method for the protection of user topic privacy in Chinese keyword-based book retrieval

Zongda WU, Jian XIE, Shigen SHEN, Chongze LIN, Guandong XU, Enhong CHEN

Research output: Contribution to journalArticlespeer-review

21 Citations (Scopus)

Abstract

In this article, aiming at a Chinese keyword-based book search service, from a technological perspective, we propose to modify a user query sequence carefully to confuse the user query topics and thus protect the user topic privacy on the untrusted server, without compromising the accuracy of each book search service. First, we propose a client-based framework for the privacy protection of book search, and then a privacy model to formulate the constraints in terms of accuracy, efficiency, and security, which the cover queries generated based on a user query sequence should meet. Second, we present a modification algorithm for a user query sequence, based on some heuristic strategies, which can quickly generate a cover query sequence meeting the privacy model by replacing, deleting, and adding keywords for each user query. Finally, both theoretical analysis and experimental evaluation demonstrate the effectiveness of the proposed approach, i.e., which can improve the security of users' topic privacy on the untrusted server without compromising the efficiency, accuracy, and usability of an existing Chinese keyword book search service, so it has a positive impact for the construction of a privacy-preserving text retrieval platform under an untrusted network environment. Copyright © 2023 held by the owner/author(s). Publication rights licensed to ACM.

Original languageEnglish
Article number146
JournalACM Transactions on Asian and Low-Resource Language Information Processing
Volume22
Issue number5
DOIs
Publication statusPublished - May 2023

Citation

Wu, Z., Xie, J., Shen, S., Lin, C., Xu, G., & Chen, E. (2023). A confusion method for the protection of user topic privacy in Chinese keyword-based book retrieval. ACM Transactions on Asian and Low-Resource Language Information Processing, 22(5), Article 146. https://doi.org/10.1145/3571731

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