Blind Watermarking Method for Anonymized Data

Yuta Ohno, Tomomu Iwai, Hiroaki Nishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The secondary use of data in consideration of individual privacy has been gaining attention. Data anonymization needs to be applied to enable both secondary use and privacy protection. In distributing anonymized data, there is a concern that data users might re-distribute the data to a third party without permission. To tackle this issue, a watermarking technique that correlates data users (IDs) with anonymized data has been studied. In existing studies, a non-blind detection method has been employed to obtain the IDs; however, the problem is the use of original data in the detection, which deteriorates the applicability. In this paper, a watermarking technique in combination with a blind detection method is proposed. We evaluate and compare the proposed watermarking method with an existing non-blind method in terms of information loss, tolerance against attacks, and the processing time of watermarking and detection.

Original languageEnglish
Title of host publicationProceedings - 2017 5th International Symposium on Computing and Networking, CANDAR 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages139-145
Number of pages7
Volume2018-January
ISBN (Electronic)9781538620878
DOIs
Publication statusPublished - 2018 Apr 23
Event5th International Symposium on Computing and Networking, CANDAR 2017 - Aomori, Japan
Duration: 2017 Nov 192017 Nov 22

Other

Other5th International Symposium on Computing and Networking, CANDAR 2017
CountryJapan
CityAomori
Period17/11/1917/11/22

Keywords

  • anonymization
  • blind detection
  • secondary use
  • watermarking

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture

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