[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

High-Capacity ECG Steganography with Smart Offset Coefficients

  • Conference paper
  • First Online:
Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 81))

Abstract

The authors present an economic way to hide patient diagnosis information in electrocardiogram (ECG) signal based on smart offset coefficient. Simulations indicated that hiding capacity is larger than existing techniques while the perceived quality is good. Moreover, the method is tolerant of the attacks such as inversion, translation, truncation, and Gaussian noise-addition attacks, which is rare in conventional ECG steganographic schemes. Since the privacy (or medical message) of the patients can be fast and effective embedded in ECG host by the proposed method, it is feasible for our method being employed in real-time applications.

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

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 143.50
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 179.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
GBP 179.99
Price includes VAT (United Kingdom)
  • Durable hardcover 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

Institutional subscriptions

Similar content being viewed by others

References

  1. Cox, I.J., Miller, M.L., Bloom, J.A., Fridrich, J., Kalker, T.: Digital Watermarking and Steganography. Morgan Kaufmann, San Francisco (2008)

    Google Scholar 

  2. Eielinska, E., Mazurczyk, W., Szczypiorski, K.: Trends in steganography. Comm. ACM 57, 86–95 (2014)

    Article  Google Scholar 

  3. Skordalakis, E.: Syntactic ECG processing: a review. Pattern Recogn. 19, 305–313 (1986)

    Article  Google Scholar 

  4. Ibaida, A., Khalil, I., Schynde, R.V.: A low complexity high capacity ECG signal watermark for wearable sensor-net health monitoring system. In: Computing in Cardiology, vol. 38, pp. 393–396 (2011)

    Google Scholar 

  5. Ibaida, A., Khalil, I.: Wavelet-based ECG steganography for protecting patient confidential information in point-of-care systems. IEEE Trans. Biomed. Eng. 60, 3322–3330 (2013)

    Article  Google Scholar 

  6. Jero, S.E., Ramu, P., Ramakrishnan, S.: Discrete wavelet transform and singular value decomposition based ECG steganography for secured patient information transmission. J. Med. Syst. 38, 132 (2014). doi:10.1007/s10916-014-0132-z

    Article  Google Scholar 

  7. Yang, C.Y., Lin, K.T.: Hiding data in electrocardiogram based on IWT domain via simple coefficient adjustment. In: 4th International Conference on Annual Conference on Engineering and Information Technology, March 29–31, Kyoto, Japan (2016)

    Google Scholar 

  8. Yang, C.Y., Wang, W.F.: Effective electrocardiogram steganography based on coefficient alignment. J. Med. Syst. 40, 1 (2016)

    Article  Google Scholar 

  9. Jero, S.E., Ramu, P., Ramakrishnan, S.: Imperceptability-robustness tradeoff studies for ECG steganography using continuous ant colony optimization. Expert Syst. Appl. 49, 123–135 (2016). doi:10.1007/s10916-015-0426-9

    Article  Google Scholar 

  10. Moody, G.B., Mark, R.G.: The impact of the MIT-BIH arrhythmia database. IEEE Eng. Med. Biol. 20, 45–50 (2001)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ching-Yu Yang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Yang, CY., Wang, WF. (2018). High-Capacity ECG Steganography with Smart Offset Coefficients. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-319-63856-0_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63856-0_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63855-3

  • Online ISBN: 978-3-319-63856-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics