Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Springer Nature Link
Log in

Quantization based multiple medical information watermarking for secure e-health

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

In this paper, an improved wavelet based medical image watermarking algorithm is proposed. Initially, the proposed technique decomposes the cover medical image into ROI and NROI regions and embedding three different watermarks into the non-region of interest (NROI) part of the transformed DWT cover image for compact and secure medical data transmission in E-health environment. In addition, the method addressing the problem of channel noise distortion may lead to faulty watermark by applying error correcting codes (ECCs) before embedding them into the cover image. Further, the bit error rates (BER) performance of the proposed method is determined for different kind of attacks including ‘Checkmark’ attacks. Experimental results indicate that the Turbo code performs better than BCH (Bose-Chaudhuri-Hochquenghem) error correction code. Furthermore, the experimental results validate the effectiveness of the proposed framework in terms of BER and embedding capacity compared to other state-of-the-art methods. Therefore, the proposed method finds potential application in prevention of patient identity theft in e-health applications.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. O M Al-Qershi and B E Khoo (2010) ROI–based tamper detection and recovery for medical images using reversible watermarking technique, in: IEEE International Conference on Information Theory and Information Security, Beijing pp. 151–155

  2. MH Alwan, M Singh and HF Mahdi (2015) Performance comparison of turbo codes with LDPC codes and with BCH codes for forward error correcting codes, Kuala Lumpur, pp. 556–560

  3. D Bowma (2012) http://www.fiercehealthit.com/story/researchers-use-digital-watermarks-protect- medical-images

  4. Dhanalakshmi R, Thaiyalnayaki K (2010) Dual watermarking scheme with encryption. International Journal of Computer Science and Information Security 7:248–253

    Google Scholar 

  5. Eswaraiah R, Reddy ES (2015) Robust medical image watermarking technique for accurate detection of tampers inside region of interest and recovering original region of interest. IET Image Process 9(8):615–625

    Article  Google Scholar 

  6. A Giakoumaki, K Perakis, A Tagaris, and D Koutsouris (2006) “Digital watermarking in telemedicine applications - towards enhanced data security and accessibility”, proceedings of the 28th IEEE EMBS annual international Conference new York City, USA

  7. Giakoumaki A, Pavlopoulos S, Koutsouris D (2006) Secure and efficient health data management through multiple watermarking on medical images. Medical Biological Engineering & Computing 44:619–631

    Article  Google Scholar 

  8. Hajjaji MA, El-Bay B, Abdelali AB, Mtibaa A (2014) Combining Haar wavelet and Karhunen Loeve transforms for medical images watermarking. Biomed res Int 2014:1–15

    Article  Google Scholar 

  9. Katzenbeisser S, Petitcolas F (2000) Information hiding techniques for steganography and digital watermarking. Artech House, London

    Google Scholar 

  10. B Kumar, SB Kumar and DS Chauhan (2014) Wavelet based imperceptible medical image watermarking using spread-spectrum, 37th International Conference on telecommunications and signal processing, Berlin Germany, 660–664

  11. Kundur D, Hatzinakos D (1999) Digital watermarking for telltale tamper proofing and authentication, proc. IEEE Special Issue on Identification and Protection of Multimedia Information 87(7):1167–1180

    Google Scholar 

  12. J Maˇsek, R Burget, J Karásek, V Uher, S Güney (2013) Evolutionary improved object detector for ultrasound images, 36th International Conference on Telecommunications and Signal processing Rome, Italy, pp. 586–590

  13. MedPix™Medical Image Database available at http://rad.usuhs.mil/medpix/medpix.html

  14. Mohanty SP (2000) Watermarking of digital images. M.S. thesis, Indian Institute of Science, India

    Google Scholar 

  15. Muhammad K, Sajjad M, Mehmood I, Rho S, Baik SW (2016) A novel magic LSB substitution method (M-LSB-SM) using multi-level encryption and achromatic component of an image. Multimed Tools Appl 75(22):14867–14893

    Article  Google Scholar 

  16. Muhammad K, Ahmad J, Rehman NU, Jan Z, Sajjad M (2017) CISSKA-LSB: color image steganography using stego key-directed adaptive LSB substitution method. Multimed Tools Appl 76(6):8597–8626

    Article  Google Scholar 

  17. M Ollove (2014) www.usatoday.com/story/.../stateline-identity- thefts-medical.../5279351

  18. Pandey R, Singh AK, Kumar B, Mohan A (2016) Iris based secure NROI multiple eye image watermarking for Teleophthalmology. Multimed Tools Appl 75(22):14381–14397

    Article  Google Scholar 

  19. A Pavelin, I Klapan, M Kovač, M Katić, R Stevanović, M Rakić and N Klapan, (2006) “A Functional Telemedicine Environment in the Framework of the Croatian Healthcare Information System”, 79–93, Volume 372: Remote Cardiology Consultations Using Advanced Medical Technology, ios press

  20. Rocek A, Slavicek K, Dostal O, Javornik M (2016) A new approach to fully-reversible watermarking in medical imaging with breakthrough visibility. Biomedical Signal Processing and Control 29:44–52

    Article  Google Scholar 

  21. Sajjad M, Muhammad K, Baik SW, Rho S, Jan Z, Yeo SS, Mehmood I (2016) Mobile-cloud assisted framework for selective encryption of medical images with steganography for resource-constrained devices. Multimed Tools Appl 76(3):3519–3536

    Article  Google Scholar 

  22. Singh AK, Dave M, Mohan A (2014) Wavelet based image watermarking: futuristic concepts in information security. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 84(3):345–359

  23. Singh AK, Dave M, Mohan A (2015) Hybrid technique for robust and imperceptible multiple watermarking using medical images. Multimed Tools Appl 75(14):8381–8401

  24. Singh AK, Kumar B, Dave M and Mohan A (2015) Robust and imperceptible spread-Spectrum watermarking for telemedicine applications, proc. Natl. Acad. Sci., India, Sect a Phys Sci 85(2):295–301.

  25. Singh AK, Dave M, Mohan A (2015) Multilevel encrypted text watermarking on medical images using spread-Spectrum in DWT domain. Wireless Personal Communications, 83(3):2133–2150

  26. AK Singh, B Kumar, M Dave, SP Ghrera and Anand Mohan (2016) Digital image watermarking: techniques and emerging applications, handbook of research on modern cryptographic solutions for Computer and cyber security, IGI global, USA, pp. 246–272

  27. N Terzija, M Repges, K Luck and W Geisselhardt (2002) Digital image watermarking using discrete wavelet transform: performance comparison of error correction codes, In: Proceedings of International Association of Science and Technology for Development (IASTED), pp. 1-5 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics & Communication Engineering, Feroze Gandhi Institute of Engineering & Technology, Raebareli, Uttar Pradesh, India

    Digvijay Singh Chauhan

  2. Department of Computer Sc. & Engineering, Jaypee University of Information Technology Waknaghat, Solan, Himachal Pradesh, India

    Amit Kumar Singh

  3. Department of Electronics & Communication Engineering, Motilal Nehru National Institute of Technology, Allahabad, India

    Basant Kumar

  4. Department of Electronics Engineering, Bundelkhand Institute of Engineering & Technology, Jhansi, Uttar Pradesh, India

    J. P. Saini

Authors
  1. Digvijay Singh Chauhan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Amit Kumar Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Basant Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. J. P. Saini
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Amit Kumar Singh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chauhan, D.S., Singh, A.K., Kumar, B. et al. Quantization based multiple medical information watermarking for secure e-health. Multimed Tools Appl 78, 3911–3923 (2019). https://doi.org/10.1007/s11042-017-4886-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-017-4886-4

Keywords