Unequal steganography with unequal error protection for wireless physiological signal transmission

Neerja Sahu, Dongming Peng, Hamid Sharif

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

In this paper, an innovative idea of secure and energy efficient electrocardiogram steganography based on Discrete Wavelet Transform (DWT) is proposed, in which different important ECG data are steganographed with variable embedding strengths so that the reconstructed ECG signal quality is preserved. Incorporating the proposed Unequal Steganography Embedding (USE) with Unequal Error Protection (UEP), the proposed scheme further improves transmission performance in terms of ECG signal quality, ensures the confidentiality as well as reliability of a user's data, and makes the transmission more energy efficient. Simulation results demonstrate that USE attains very low distortion (WWPRD less than 0.45 %). Furthermore, high correlation between host and stego ECG and ECG data remains diagnosable after steganography. Based on our literature reviews, the reliability, robustness, and energy efficiency of this proposed method are unmatched in comparison with any other published methods.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
EditorsMerouane Debbah, David Gesbert, Abdelhamid Mellouk
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389990
DOIs
StatePublished - Jul 28 2017
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: May 21 2017May 25 2017

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Other

Other2017 IEEE International Conference on Communications, ICC 2017
CountryFrance
CityParis
Period5/21/175/25/17

Keywords

  • Electrocardiogram (ECG)
  • Physiological signal
  • Unequal Error Protection (UEP)
  • Unequal Steganography Embedding (USE)
  • Wavelet-based Weighted Percent Root-mean-squared Difference (WWPRD)
  • correlation
  • energy saving
  • security

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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