Joint Steganography-Source-Channel Coding for Wireless Physiological Signal Transmission

Neerja Sahu, Dongming Peng, Hamid Sharif

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

Abstract

In this paper, we propose a novel Joint Steganography-Source-Channel Coding (JS2C2) scheme for scalable physiological signal transmission in wireless networks. Our goal is to secure patient's confidential data in medical signal by using Unequally Steganography Embedding and progressively transmit it by Joint Source-Channel Coding, limiting the extent of end to end distortion in the received signal, while abating transmission energy. The main contribution of this paper lies in the inherently joint design of the physiological signal steganography coding and transmission by taking advantage of the unequal importance among different segments of the physiological data. Higher steganography coding level and more robust source-channel coding will protect those highly important segments of the physiological data. Therefore, data integrity and transmission efficiency can be achieved in a resilient way. Simulation results demonstrate that USE attains low distortion (Wavelet-based Weighted Percent Root-mean-squared Difference, i.e. WWPRD 0.45 %) as well as high correlation between cover and stego data. Furthermore, low end-to-end Mean-Square-Error (MSE) indicates strong imperceptibility of stego data and ascertains that physiological signal remains diagnosable after JS2C2.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538631805
DOIs
StatePublished - Jul 27 2018
Event2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States
Duration: May 20 2018May 24 2018

Publication series

NameIEEE International Conference on Communications
Volume2018-May
ISSN (Print)1550-3607

Other

Other2018 IEEE International Conference on Communications, ICC 2018
CountryUnited States
CityKansas City
Period5/20/185/24/18

Fingerprint

Steganography
Channel coding
Mean square error
Wireless networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Sahu, N., Peng, D., & Sharif, H. (2018). Joint Steganography-Source-Channel Coding for Wireless Physiological Signal Transmission. In 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings [8422937] (IEEE International Conference on Communications; Vol. 2018-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2018.8422937

Joint Steganography-Source-Channel Coding for Wireless Physiological Signal Transmission. / Sahu, Neerja; Peng, Dongming; Sharif, Hamid.

2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8422937 (IEEE International Conference on Communications; Vol. 2018-May).

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

Sahu, N, Peng, D & Sharif, H 2018, Joint Steganography-Source-Channel Coding for Wireless Physiological Signal Transmission. in 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings., 8422937, IEEE International Conference on Communications, vol. 2018-May, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on Communications, ICC 2018, Kansas City, United States, 5/20/18. https://doi.org/10.1109/ICC.2018.8422937
Sahu N, Peng D, Sharif H. Joint Steganography-Source-Channel Coding for Wireless Physiological Signal Transmission. In 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8422937. (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2018.8422937
Sahu, Neerja ; Peng, Dongming ; Sharif, Hamid. / Joint Steganography-Source-Channel Coding for Wireless Physiological Signal Transmission. 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (IEEE International Conference on Communications).
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