Title: Privacy preserving dynamic data release based on non-synonymous diverse anatomy

Authors: Yan Yan; Anselme Herman Eyeleko; Adnan Mahmood; Zichao Sun; Zhuoyue Dong; Fei Xu

Addresses: School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China ' School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China ' School of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, NSW 2109, Australia ' School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China ' School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China ' School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China

Abstract: The publishing and using of big data brought unprecedented convenience to users. However, it also results in the disclosure of personal privacy information. In order to mitigate the privacy leakage risk of sensitive information during dynamic data updating, this paper envisages a non-synonymous diverse anatomy method for the privacy preserving dynamic data publishing. The envisaged method inherits the advantages of the traditional anatomy method, retains the availability of the original data to the greatest extent, and avoids the loss of information caused by the generalisation process. A series of indicators are designed to evaluate the synonymous linkage between non-numerical sensitive values. A novel grouping mechanism is further proposed to achieve l-diversity anatomy by combining the concept of synonymous linkage and synonymous entropy with the dynamic update procedure. Experimental analysis suggests that the envisaged method can provide better privacy protection effect on the published data.

Keywords: privacy protection; data publishing; anatomy; synonymous attack; l-diversity; dynamic data update.

DOI: 10.1504/IJSN.2023.131595

International Journal of Security and Networks, 2023 Vol.18 No.2, pp.75 - 90

Received: 26 Jan 2022
Accepted: 01 Sep 2022
Published online: 20 Jun 2023 *

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