TY - GEN
T1 - Joint Steganography-Source-Channel Coding for Wireless Physiological Signal Transmission
AU - Sahu, Neerja
AU - Peng, Dongming
AU - Sharif, Hamid
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/27
Y1 - 2018/7/27
N2 - 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.
AB - 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.
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U2 - 10.1109/ICC.2018.8422937
DO - 10.1109/ICC.2018.8422937
M3 - Conference contribution
AN - SCOPUS:85051420926
SN - 9781538631805
T3 - IEEE International Conference on Communications
BT - 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Communications, ICC 2018
Y2 - 20 May 2018 through 24 May 2018
ER -