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Proceedings Paper

A text zero-watermarking method based on keyword dense interval
Author(s): Fan Yang; Yuesheng Zhu; Yifeng Jiang; Yin Qing
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Paper Abstract

Digital watermarking has been recognized as a useful technology for the copyright protection and authentication of digital information. However, rarely did the former methods focus on the key content of digital carrier. The idea based on the protection of key content is more targeted and can be considered in different digital information, including text, image and video. In this paper, we use text as research object and a text zero-watermarking method which uses keyword dense interval (KDI) as the key content is proposed. First, we construct zero-watermarking model by introducing the concept of KDI and giving the method of KDI extraction. Second, we design detection model which includes secondary generation of zero-watermark and the similarity computing method of keyword distribution. Besides, experiments are carried out, and the results show that the proposed method gives better performance than other available methods especially in the attacks of sentence transformation and synonyms substitution.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104203K (21 July 2017);
Show Author Affiliations
Fan Yang, Peking Univ. Shenzhen Graduate School (China)
Yuesheng Zhu, Peking Univ. Shenzhen Graduate School (China)
Yifeng Jiang, Peking Univ. Shenzhen Graduate School (China)
Yin Qing, Peking Univ. Shenzhen Graduate School (China)

Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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