Netinfo Security ›› 2022, Vol. 22 ›› Issue (9): 11-20.doi: 10.3969/j.issn.1671-1122.2022.09.002

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A Robust Watermarking Technology Based on k-Anonymity Dataset

YU Jing1,2, YUAN Shuguang1,2, YUAN Yulin1,2, CHEN Chi1,2()   

  1. 1. Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China
    2. School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2022-05-29 Online:2022-09-10 Published:2022-11-14
  • Contact: CHEN Chi E-mail:chenchi@iie.ac.cn

Abstract:

In the era of big data, secure and controlled data publishing becomes increasingly vital. When data holders publish dataset to data demanders, data holders often anonymize user’s data by k-anonymity for privacy purpose and embed watermarking in published dataset for protecting data copyright. Hence, there is a realistic demand for watermarking k-anonymity dataset. The main purpose of this paper is to embed watermark in k-anonymity dataset. However, there are two important problems for k-anonymity dataset to be addressed: the lack of primary key and the limited watermark space. In this paper, we try to address above problems by proposing a robust watermarking scheme based on k-anonymity dataset. This scheme used quasi-identifier attribute as the seed of watermark location function instead of primary key, embedded watermark information on non-sensitive attributes, and corrected error by twice majority voting in watermark detection phase. This scheme did not affect the effect of k-anonymity and realize the dual protection of privacy and copyright. Experiments showed that the watermarking scheme proposed in this paper has good robustness and efficiency.

Key words: database watermarking, copyright protection, k-anonymity, privacy protection

CLC Number: