Gray X-Ray medical images encryption and decryption by chaotic algorithm

Authors

DOI:

https://doi.org/10.70411/MJHAS.2.1.2025143

Keywords:

X-Ray Image Encryption, Decryption, Chaotic Logistic Encryption Algorithm, Histogram

Abstract

The procedure for securely transferring encrypted images over the network so that an unauthorized user cannot decrypt them is by implementing strong algorithms that cannot be decrypted. There are different methods and multiple algorithms for encrypting and decrypting images. The most common way to encrypt images is the Chaotic Image System. The encryption key and decryption key are called the “symmetric key." In this research, a medical researcher found that the chaotic logistic encryption algorithm has a better effect on encrypting medical X-ray image information and hides the statistical properties of the original medical encryption. Several standards were used to measure image quality during and after encryption, and a comparison was made between them to obtain optimal values ​​for encrypting the X-ray image. The correlation relationship between the adjacent pixels of both the original and the encrypted image was also measured at both values ​​of the initial coefficients. The correlation relationship for the adjacent pixels in the original image was found to be strong. However, in the case of the encrypted image, it is sparse and has little correlation. Finally, in the case of the image in which encryption does not occur, the correlation relationship between adjacent pixels is similar to the original image. Several measurements were used in the research, such as Encryption Time (ET), Decryption Time (DT), and Information Entropy for the Original image (Eo).

References

Abu-Ein, A. (2023). An Effective Chaotic Image Encryption Algorithm Based on Piecewise Non-linear Chaotic Map. Inf. Sci. Lett. Nat, 12, 1173-1181.

Ahmed, S. T., Hammood, D. A., Chisab, R. F., Al-Naji, A., & Chahl, J. (2023). Medical image encryption: a comprehensive review. Computers, 12(8), 160.

Ahmed, S. T., Hammood, D. A., Chisab, R. F., & Ismail, N. B. H. (2023). Medical Image Encryption and Decryption Based on DNA: A Survey. Journal of Techniques, 5(3), 116–128.

Asgari-Chenaghlu, M., Balafar, M.-A., & Feizi-Derakhshi, M.-R. (2019). A novel image encryption algorithm based on polynomial combination of chaotic maps and dynamic function generation. Signal Processing, 157, 1-13.

Bose, B., Dey, D., Sengupta, A., Mulchandani, N., & Patra, A. (2021). A novel medical image encryption using cyclic coding in Covid-19 pandemic situation. Journal of Physics: Conference Series,

Faisal, Z., & Ameer, E. H. A. (2020). Encryption Image by Using RC6 and Hybrid Chaotic Map. Webology, 17(2), 189-199.

Hua, Z., & Zhou, Y. (2017). Design of image cipher using block-based scrambling and image filtering. Information sciences, 396, 97-113.

Kumari, M., Gupta, S., & Sardana, P. (2017). A survey of image encryption algorithms. 3D Research, 8, 1-35.

Masood, F., Driss, M., Boulila, W., Ahmad, J., Rehman, S. U., Jan, S. U., Qayyum, A., & Buchanan, W. J. (2022). A lightweight chaos-based medical image encryption scheme using random shuffling and XOR operations. Wireless personal communications, 127(2), 1405-1432.

Mitra, A., Rao, Y. S., & Prasanna, S. (2006). A new image encryption approach using combinational permutation techniques. International Journal of Computer Science, 1(2), 127-131.

Mohamed, K. (2022). Chaos Based Image Encryption.

Mohsen, M., Manisi, Y., Bouzreda, H. M., & Youniss, F. (2024). Evolution of computed tomography techniques. Modern Journal of Health and Applied Sciences, 1(1), 49-58.

Özkaynak, F. (2015). A novel method to improve the performance of chaos based evolutionary algorithms. Optik, 126(24), 5434-5438.

Rajoriya, R., Patidar, K., & Chouhan, S. (2018). A survey and analysis on color image encryption algorithms. ACCENTS Transactions on Information Security, 3(9), 2455-7196.

Raman, A. (2016). Parallel processing of chaos-based image encryption algorithms. University of California, Irvine.

Zhang, B., & Liu, L. (2023). Chaos-based image encryption: Review, application, and challenges. Mathematics, 11(11), 2585.

Zhang, G., Ding, W., & Li, L. (2020). Image encryption algorithm based on tent delay-sine cascade with logistic map. Symmetry, 12(3), 355.

Zhou, Y., Hua, Z., Pun, C.-M., & Chen, C. P. (2014). Cascade chaotic system with applications. IEEE transactions on cybernetics, 45(9), 2001-2012.

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Published

2025-03-15

How to Cite

Gray X-Ray medical images encryption and decryption by chaotic algorithm. (2025). Modern Journal of Health and Applied Sciences , 2(1), 1-11. https://doi.org/10.70411/MJHAS.2.1.2025143

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