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Natural Language Watermarking

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Digital Watermarking

Part of the book series: Springer Topics in Signal Processing ((STSP,volume 11))

Abstract

Nowadays, a mass traffic of Internet is occupied by text data transactions. Because text data is widely distributed, searched, and reused in various applications, it is essential to control the copyright over text as well as other forms of data including video, image, and audio. Semantic and syntactic structures of text are good candidates for embedding watermarks.

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Author information

Authors and Affiliations

  1. National Electronics and Computer Technology Center (NECTEC), Pathumthani, Thailand

    Mohammad Ali Nematollahi & Chalee Vorakulpipat

  2. Universidad Autónoma de Zacatecas, Zacatecas, Mexico

    Hamurabi Gamboa Rosales

Authors
  1. Mohammad Ali Nematollahi
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  2. Chalee Vorakulpipat
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  3. Hamurabi Gamboa Rosales
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Correspondence to Mohammad Ali Nematollahi .

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© 2017 Springer Science+Business Media Singapore

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Nematollahi, M.A., Vorakulpipat, C., Rosales, H.G. (2017). Natural Language Watermarking. In: Digital Watermarking . Springer Topics in Signal Processing, vol 11. Springer, Singapore. https://doi.org/10.1007/978-981-10-2095-7_7

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  • DOI: https://doi.org/10.1007/978-981-10-2095-7_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2094-0

  • Online ISBN: 978-981-10-2095-7

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