Skip to main content

Improved DM-QIM Watermarking Scheme for PDF Document

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12022))

Abstract

In any application of watermarking, the selection of feature vectors from a given multimedia content is important from the perspective of robustness and security. In the case of PDF document, the spaces between words and characters are commonly utilized for embedding watermark in the conventional schemes. Instead of modifying the space values directly, researchers proposed to manipulate the frequency components of the space values by using the quantization index modulation (QIM) watermarking method. The QIM method is further combined with dither modulation (DM) to enhance secrecy of watermark. In this paper, we improve the imperceptibility of watermarked PDF document by investigating into the DM operation. The proposed method selects the best secret key among some candidates which minimizes the degradation caused by embedding watermark. Information about the selected key is also embedded as side information so that the embedded watermark can be extracted without referring to the original PDF document. The degree of distortion caused by watermark embedding is quantitatively measured in our experiment. It is verified that the gain in terms of signal-to-noise ratio in the proposed method is increased with the number of secret key candidates.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    https://www.pdflabs.com/tools/pdftk-the-pdf-toolkit/.

References

  1. Bender, W., Gruhl, D., Morimoto, N., Lu, A.: Techniques for data hiding. IBM Syst. J. 35(3–4), 313–336 (1996)

    Article  Google Scholar 

  2. Bitar, A.W., Darazi, R., Couchot, J.F., Couturier, R.: Blind digital watermarking in PDF documents using spread transform dither modulation. Multimedia Tools Appl. 76(1), 143–161 (2017)

    Article  Google Scholar 

  3. Chen, B., Wornell, G.Q.: Quantization index modulation: a class of provably good methods for digital watermarking and information embedding. IEEE Trans. Inf. Theory 47(4), 1423–1443 (2001)

    Article  MathSciNet  Google Scholar 

  4. Cox, I.J., Kilian, J., Leighton, F.T., Shamson, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Process. 6(12), 1673–1687 (1997)

    Article  Google Scholar 

  5. Adobe Systems Incorporated: Document management—portable document format—part 1: PDF 1.7. ISO 32000–1:2008, July 2008

    Google Scholar 

  6. Kuribayashi, M., Fukushima, T., Funabiki, N.: Robust and secure data hiding for PDF text document. IEICE Trans. Inf. Syst. E102-D(1), 41–47 (2019)

    Google Scholar 

  7. Lee, I.S., Tsai, W.H.: A new approach to covert communication via PDF files. Sig. Process. 90(2), 557–565 (2010)

    Article  Google Scholar 

  8. Lin, H.F., Lu, L.W., Gun, C.Y., Chen, C.Y.: A copyright protection scheme based on PDF. Int. J. Innov. Comput. Inf. Control 9(1), 1–6 (2013)

    Google Scholar 

  9. Por, L.Y., Delina, B.: Information hiding: a new approach in text steganography. In: Proceedings of ACACOS 2008, pp. 689–695 (2008)

    Google Scholar 

  10. Zhong, S., Cheng, X., Chen, T.: Data hiding in a kind of PDF texts for secret communication. Int. J. Netw. Secur. 4, 17–26 (2007)

    Google Scholar 

Download references

Acknowledgment

This research has been partially supported by the Kayamori Foundation of Information Science Advancement and JSPS KAKENHI Grant Number 19K22846.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Minoru Kuribayashi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kuribayashi, M., Wong, K. (2020). Improved DM-QIM Watermarking Scheme for PDF Document. In: Wang, H., Zhao, X., Shi, Y., Kim, H., Piva, A. (eds) Digital Forensics and Watermarking. IWDW 2019. Lecture Notes in Computer Science(), vol 12022. Springer, Cham. https://doi.org/10.1007/978-3-030-43575-2_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-43575-2_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43574-5

  • Online ISBN: 978-3-030-43575-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics