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Integer Wavelet Transform-Based ECG Steganography for Hiding Patients’ Confidential Information in e-Healthcare Systems

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1053))

Abstract

A novel ECG steganography technique to hide patients’ confidential information using integer wavelet transform (IWT) is proposed. Modified least significant bit (m-LSB) method has been applied to embed the secret bits into the transform coefficients of an ECG signal. To strengthen the security of the embedded information, chaotic maps are employed which randomly select the ECG coefficients to embed the secret information. The formulated approach outperformed the other state-of-the-art techniques with high embedding capacity (EC) and excellent peak signal-to-noise Ratio (PSNR) at minimal percentage residual difference (PRD) and Kullback–Leibler divergence (KL-divergence). The proficiency of the proposed technique is also evaluated in terms of the clinical diagnostic distortion measures like wavelet-based weighted PRD (WWPRD) and wavelet energy-based diagnostic distortion (WEDD). The proposed method is competent to hide the confidential information while keeping the diagnostic features intact.

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References

  1. Subhedar, M.S., Mankar, V.H.: Current status and key issues in image steganography: a survey. Comput. Sci. Rev. 13–14, 95–113 (2014)

    Article  Google Scholar 

  2. Mudgal, N., Singh, P., Saxena, S.: SteganoCrypt: an app for secure communication. In: Pant, M., Ray, K., Sharma, T.K., Rawat, S., Bandyopadhyay, A (eds.) Soft Computing: Theories and Applications, AISC, vol. 2, pp. 59–66. Springer, Singapore (2018)

    Google Scholar 

  3. Dmour, H.A., Ani, A.A.: Quality optimized medical image information hiding algorithm that employs edge detection and data coding. Comput. Methods Programs Biomed. 127, 24–43 (2016)

    Article  Google Scholar 

  4. Parah, S.A., Ahad, F., Sheikh, J.A., Bhat, G.M.: Hiding clinical information in in medical images: a new high capacity and reversible data hiding technique. J. Biomed. Inform. 66, 214–230 (2017)

    Article  Google Scholar 

  5. Harnendez, J.J.G., Flores, W.G.: Analysis of the impact of digital watermarking on computer aided diagnosis in medical imaging. Comput. Biol. Med. 68, 37–48 (2016)

    Article  Google Scholar 

  6. Rubio, O.J., Alesanco, A., García, J.: Secure information embedding into 1D biomedical signals based on SPIHT. J. Biomed. Inf. 46, 653–664 (2013)

    Google Scholar 

  7. Shiu, H.J., Lin, B.S., Chien, H.H., Chiang, P.Y., Lei, C.L.: Preserving privacy of online digital physiological signals using blind and reversible steganography. Comput. Methods Programs Biomed. 151, 159–170 (2017)

    Article  Google Scholar 

  8. Pandey, A., Saini, B.S., Singh, B., Sood, N.: Complexity sorting and coupled chaotic map based on 2D ECG data compression-then-encryption and its OFDM transmission with impair sample correction. Multimedia Tools Appl. 1–39 (2018)

    Google Scholar 

  9. Yang, C.Y., Wang, W.F.: Effective electrocardiogram steganography based on coefficient alignment. J. Med. Syst. 40, 66 (2016)

    Article  Google Scholar 

  10. Pandey, A., Saini, B.S., Singh, B., Sood, N.: An integrated approach using chaotic map and sample value difference method for electrocardiogram steganography and OFDM based secured patient information transmission. J. Med. Syst. 41(187), 1–20 (2017)

    Google Scholar 

  11. Ibaida, A., Khalil, I.: Wavelet-based ECG steganography for protecting patient confidential information in point-of-care systems. IEEE Trans. Biomed. Eng. 60(12), 3322–3330 (2013)

    Article  Google Scholar 

  12. 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), 1–11 (2014)

    Google Scholar 

  13. Jero, S.E., Ramu, P., Ramakrishnan, S.: ECG steganography using curvelet transform. Biomed. Signal Process. Control 22, 161–169 (2015)

    Article  Google Scholar 

  14. Jero, S.E., Ramu, P., Ramakrishnan, S.: Imperceptibility-Robustness trade-off studies for ECG steganography using continuous ant colony optimization. Expert Syst. Appl. 49, 123–135 (2016)

    Article  Google Scholar 

  15. Trinder, J., Kleiman, J., Carrington, M., Smith, S., Breen, S., Tan, N., Kim, Y.: Autonomic activity during human sleep as a function of time and sleep stage. J. Sleep Resolut. 10, 253–264 (2001)

    Article  Google Scholar 

  16. Berkaya, S.K., Uysal, A.K., Gunal, E.S., Ergin, S., Gunal, S., Gulmezoglu, M.B.: A survey on ECG analysis. Biomed. Signal Process. Control 43, 216–235 (2018)

    Article  Google Scholar 

  17. Singh, B., Singh, D., Jaryal, A.K., Deepak, K.K.: Ecotopic beats in approximate entropy and sample entropy based HRV assessment. Int. J. Syst. Sci. 43, 884–893 (2012)

    Article  Google Scholar 

  18. Rajpurohit, J., Sharma, T.K., Abrahm, A.: Vaishali: glossary of metaheuristic algorithms. Int. J. Comput. Inf. Syst. Ind. Manag. Appl. 9, 181–205 (2017)

    Google Scholar 

  19. Daubechies, I., Sweldons, W.: Factoring wavelet transforms into lifting schemes. J. Fourier Anal. Appl. 4(3) (1998)

    Google Scholar 

  20. Lee, S., Yoo, C.D., Kalker, T.: Reversible image watermarking based on integer to integer wavelet transform. IEEE Trans. Inf. Forensics Secur. 2(3), 321–330 (2007)

    Article  Google Scholar 

  21. Liji, C.A., Indiradevi, K.P., Anish Babu, K.K.: Integer wavelet transform for embedded lossy to lossless image compression. Int. Conf. Emerg. Trends Eng. Sci. Technol. Procedia Technol. 24, 1039–1047 (2015)

    Google Scholar 

  22. Zhou, Y., Bao, L., Chang, C.L.P.: A new 1D chaotic system for image encryption. Sig. Process. 97, 172–182 (2014)

    Article  Google Scholar 

  23. Ravichandran, D., Praveenkumar, P., Rayappan, J.B.B., Amirtharajan, R.: Chaos based crossover and mutation for securing DICOM image. Comput. Biol. Med. 72, 170–180 (2016)

    Google Scholar 

  24. www.physionet.org/cgi-bin/atm/ATM

  25. Chan, C.K., Cheng, L.M.: Hiding data in images by simple LSB substitution. Pattern Recogn. 37(3), 469–474 (2004)

    Article  Google Scholar 

  26. Maurya, I., Gupta, S.K.: Secure image steganography through pre-processing. In: Ray, K., Sharma, T.K., Rawat, Saini, R., S., Bandyopadhyay, A. (eds.) Soft Computing: Theories and Applications 2017, AISC, pp. 133–145. Springer, Singapore (2019)

    Google Scholar 

  27. Pandey, A., Saini, B.S., Singh, B., Sood, N.: A 2D electrocardiogram data compression method using a sample entropy-based complexity sorting approach. Comput. Electr. Eng. 56, 36–45 (2016)

    Article  Google Scholar 

  28. Rajaram, V.: IEEE standards for floating point numbers. Resonance (2016)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology, Jalandhar, 144011, India

    Neetika Soni & Indu Saini

  2. Department of Electronics and Communication Engineering, Guru Nanak Dev University, Regional Campus, Jalandhar, 144007, India

    Neetika Soni & Butta Singh

Authors
  1. Neetika Soni
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  2. Indu Saini
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  3. Butta Singh
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Corresponding author

Correspondence to Butta Singh .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Tarun K. Sharma

  3. Department of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Om Prakash Verma

  4. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Rajesh Singla

  5. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Afzal Sikander

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Soni, N., Saini, I., Singh, B. (2020). Integer Wavelet Transform-Based ECG Steganography for Hiding Patients’ Confidential Information in e-Healthcare Systems. In: Pant, M., Sharma, T., Verma, O., Singla, R., Sikander, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-15-0751-9_48

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