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Efficient Medical Image Encryption Framework against Occlusion Attack

May A. Al-Otaibi1,*, Hesham Alhumyani1, Saleh Ibrahim2, Alaa M. Abbas2

1 Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
2 Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

* Corresponding Author: May A. Al-Otaibi. Email:

Intelligent Automation & Soft Computing 2022, 34(3), 1523-1536.


Image encryption has attracted a lot of interest as an important security application for protecting confidential image data against unauthorized access. An adversary with the power to manipulate cipher image data can crop part of the image out to prevent decryption or render the decrypted image useless. This is known as the occlusion attack. In this paper, we address a vulnerability to the occlusion attack identified in the medical image encryption framework recently proposed in []. We propose adding a pixel scrambling phase to the framework and show through simulation that the extended framework effectively mitigates the occlusion attack while maintaining the other attractive security features. The scrambling is performed using a separate chaotic map which is securely initialized using a secret key and a random nonce to deter chosen-plaintext attacks. Moreover, we show through simulation that the choice of chaotic map used for scrambling is irrelevant to the effectiveness of the scrambling algorithm against the occlusion attack.


Cite This Article

M. A. Al-Otaibi, H. Alhumyani, S. Ibrahim and A. M. Abbas, "Efficient medical image encryption framework against occlusion attack," Intelligent Automation & Soft Computing, vol. 34, no.3, pp. 1523–1536, 2022.

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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