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A Hybrid Security Framework for Medical Image Communication

Walid El-Shafai1,2, Hayam A. Abd El-Hameed3, Ashraf A. M. Khalaf3, Naglaa F. Soliman4, Amel A. Alhussan5,*, Fathi E. Abd El-Samie1

1 Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt
2 Security Engineering Laboratory, Department of Computer Science, Prince Sultan University, Riyadh, 11586,Saudi Arabia
3 Electrical Communications Engineering Department, Faculty of Engineering, Minia University, Minia, 61111, Egypt
4 Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia
5 Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

* Corresponding Author: Amel A. Alhussan. Email: email

Computers, Materials & Continua 2022, 73(2), 2713-2730. https://doi.org/10.32604/cmc.2022.028739

Abstract

Authentication of the digital image has much attention for the digital revolution. Digital image authentication can be verified with image watermarking and image encryption schemes. These schemes are widely used to protect images against forgery attacks, and they are useful for protecting copyright and rightful ownership. Depending on the desirable applications, several image encryption and watermarking schemes have been proposed to moderate this attention. This framework presents a new scheme that combines a Walsh Hadamard Transform (WHT)-based image watermarking scheme with an image encryption scheme based on Double Random Phase Encoding (DRPE). First, on the sender side, the secret medical image is encrypted using DRPE. Then the encrypted image is watermarking based on WHT. The combination between watermarking and encryption increases the security and robustness of transmitting an image. The performance evaluation of the proposed scheme is obtained by testing Structural Similarity Index (SSIM), Peak Signal-to-Noise Ratio (PSNR), Normalized cross-correlation (NC), and Feature Similarity Index (FSIM).

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Cite This Article

W. El-Shafai, H. A. Abd El-Hameed, A. A. M. Khalaf, N. F. Soliman, A. A. Alhussan et al., "A hybrid security framework for medical image communication," Computers, Materials & Continua, vol. 73, no.2, pp. 2713–2730, 2022.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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