May A. Al-Otaibi1,*, Hesham Alhumyani1, Saleh Ibrahim2, Alaa M. Abbas2
Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1523-1536, 2022, DOI:10.32604/iasc.2022.026161
Abstract 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… More >
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