Blind Watermarking Method for Anonymized Data

Yuta Ohno, Tomomu Iwai, Hiroaki Nishi

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2017 5th International Symposium on Computing and Networking, CANDAR 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ139-145
ページ数7
2018-January
ISBN(電子版)9781538620878
DOI
出版ステータスPublished - 2018 4 23
イベント5th International Symposium on Computing and Networking, CANDAR 2017 - Aomori, Japan
継続期間: 2017 11 192017 11 22

Other

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

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ

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