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Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

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Open Access Research Article

Medical images utilization for significant data hiding based on machine learning

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* Corresponding author · click or hover a name for details

pp. 1971–1979Vol. 26Issue 7October 2023DOI: 10.47974/JDMSC-1785 Crossmark XML
Received:
04 Apr 2023
Published Online:
30 Oct 2023
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-1785
Pages:
1971–1979

Abstract

This paper uses a machine-learning algorithm to suggest a reliable watermarking approach. The watermarked image propagation through the download physical layer (PhyLyr) of WiMAX standards is simulated in this work (WiMAX is based on the IEEE suite of standards 802.16). By downloading the Physical Layer (PhyLyr) through OFDM, transform coefficients of the host image (Hosting-Image) can be embedded there. Data associated with watermarks are initially encrypted. In a medical image, Support Vector Networks (SVN) are used to classify regions of interest (ROI) and regions of no interest (Non-ROI). The findings of this manuscript revealed that greater signal-to-noise ratios might achieve a 106-bit error rate (Bit-Err-Rate), this means that SNR is exceeds 10.4 dB of SNR. The received cover image’s peak SNR (PSNR) for clinical applications is more than 37 dB.

Keywords

Subject Classifications

62H3565D18

References

[1] Ma, X., Niu, Y., Gu, L., Wang, Y., Zhao, Y., Bailey, J., & Lu, F. : Understanding adversarial attacks on deep learning based medical image analysis systems. Pattern Recognition (2020). 
[2] Balu, S., Babu, C. N. K., & Amudha, K. : Secure and efficient data transmission by video steganography in medical imaging system. Cluster Computing, 22, 4057–4063 (2019).
[3] Shehab, A., Elhoseny, M., Muhammad, K., Sangaiah, A. K., Yang, P., Huang, H., & Hou, G. : Secure and robust fragile watermarking scheme for medical images. IEEE Access, 6, 10269–10278 (2018).
[4] Prabhu, P., & Manjunath, K. N. : Secured image trans- mission in medical imaging applications—A survey. In Computer Aided Intervention and Diagnostics in Clinical and Medical Images, pp. 125–133 (2019).
[5] Kim, J. M., Lee, H. S., Yi, J., & Park, M. : Power adaptive data encryption for energy-efficient and secure communication in solar-powered wireless sensor networks. Hindawi Publishing Corporation Journal of Sensors (2016). https://doi.org/10.1155/2016/ 2678269.
[6] Manesha, R. A., & Velladurai, M. : Efficient image transmission in wireless sensor networks using wavelet coded preprocessing technique. International Journal of Computer Networks and Wireless Communications, 2(2) (2012).
[7] Roopa, B., Kumar, S., & Manvi, S. : Image fusion for wireless sensor networks. Specialty Journal of Electronic and Computer Sciences, 1(1), 1–8 (2015).
[8] El-Bendary, M. A., & Abou El-Azm, A. E. : Complexity considerations: efficient image transmission over mobile com- munications channels. Multimedia Tools and Applications, 78(12), 16633–16664 (2019).
[9] Haouari, B., Khelifa, B., & Mohammed, B. : Image transmission model with quality of service and energy economy in Wireless Multimedia Sensor Network. International Journal of Advanced Computer Science and Applications, 7(2), 180–184 (2016).
[10] Ghorbel, O., Ayedi, W., Jmal, M. W., & Abid, M. : Images compression in WSN: Performance analysis. In IEEE 14th international conference on presented at the communication technology, Chengdu (2012).
[11] Lu, Z. M., Xu, D. G., & Sun, S. H. : Multipurpose image watermarking algorithm based on multistage vector quantization. IEEE Transactions on Image Processing, 14(6), 822–831 (2005).
[12] Kim, H. S., & Lee, H. K. : Invariant image watermark using Zernike moments. IEEE Transactions on Circuits and Systems For Video Technology, 13(8), 766–775 (2003).
[13] Priya, S., & Santhi, B. : A novel visual medical image encryption for secure transmission of authenticated watermarked medical images. Journal of Mobile Networks and Applications (2019). https://doi.org/10.1007/s11036-019-01213-x.
[14] Li, W., Xue, X., & Lu, P. : Localized audio watermarking technique robust against time-scale modification. IEEE Trans- actions on Multimedia, 8(1), 60–69 (2006).
[15] Han, F., Yu, X., & Han, S. : Improved baker map for image encryption. In First international symposium on systems and control in aerospace and astronautics, pp. 1273–1276 (2006).
[16] El-Bendary, M. A. M. : FEC merged with double security approach based on encrypted image steganography for different purpose in the presence of noise and different attacks. Multimedia Tools and Applications, 76(24), 26463–26501 (2017).
[17] Sengupta, A., & Rathor, M. : Structural obfuscation and crypto-steganography-based secured JPEG compression hardware for medical imaging systems. IEEE Access, 8, 6543–6565 (2020).
[18] Kasban, H., & El-Bendary, M. A. : performance improvement of digital image transmission over mobile WiMAX networks. Wireless Personal Communications, 94, 1087–1103 (2017).
[19] Sharma, B., Koundal, D., & Singh, S. : Medical imaging security and forensics: A systematic literature review. Advances in Computational Techniques for Biomedical Image Analysis, 2020, 273–297 (2020).
[20] Costa, D. G., Figuereˆdo, S., & Oliveira, G. : Cryptography in Wireless Multimedia Sensor Networks: a survey and research directions. Cryptography Journal, 1, 1–18 (2017). 
[21] Shubham Sharma & Ahmed J. Obaid. Mathematical modelling, analysis and design of fuzzy logic controller for the control of ventilation systems using MATLAB fuzzy logic toolbox, Journal of Interdisciplinary Mathematics, 23:4, 843-849 (2020), DOI: 10.1080/09720502.2020.1727611.

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