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How to protect reader lending privacy under a cloud environment: a technical method

Zongda Wu (Department of Computer Science and Engineering, Shaoxing University, Shaoxing, China)
Shigen Shen (Shaoxing University, Shaoxing, China)
Chenglang Lu (Zhejiang Institute of Mechanical and Electrical Engineering, Hangzhou, China)
Huxiong Li (Shaoxing University, Shaoxing, China)
Xinning Su (Nanjing University, Nanjing, China)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 28 December 2020

Issue publication date: 8 December 2022

479

Abstract

Purpose

In this paper, the authors propose an effective mechanism for the protection of digital library readers' lending privacy under a cloud environment.

Design/methodology/approach

The basic idea of the method is that for each literature circulation record, before being submitted to the untrusted cloud database of a digital library for storage, its reader number has to be encrypted strictly at a client, so as to make it unable for an attacker at the cloud to know the specific reader associated with each circulation record and thus protect readers' lending privacy. Moreover, the authors design an effective method for querying the encrypted literature circulation records, so as to ensure the accuracy and efficiency of each kind of database queries related to the encrypted reader number field of literature circulation records.

Findings

Finally, both theoretical analysis and experimental evaluation demonstrate the effectiveness of the proposed methods.

Originality/value

This paper presents the first study attempt to the privacy protection of readers' literature circulations, which can improve the security of readers' lending privacy in the untrusted cloud, without compromising the accuracy and efficiency of each kind of database queries in the digital library. It is of positive significance to construct a privacy-preserving digital library platform.

Keywords

Acknowledgements

This work was supported in part by the Zhejiang Provincial Natural Science Foundation of China (Nos. LZ18F020001 and LY19F020018), and the Major Humanities and Social Sciences Research Project of Zhejiang Provincial Universities (No. 2020GH023).

Citation

Wu, Z., Shen, S., Lu, C., Li, H. and Su, X. (2022), "How to protect reader lending privacy under a cloud environment: a technical method", Library Hi Tech, Vol. 40 No. 6, pp. 1746-1765. https://doi.org/10.1108/LHT-07-2020-0178

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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