2022
DOI: 10.3390/e24070901
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An Encryption Algorithm for Region of Interest in Medical DICOM Based on One-Dimensional eλ-cos-cot Map

Abstract: Today, with the rapid development of the Internet, improving image security becomes more and more important. To improve image encryption efficiency, a novel region of interest (ROI) encryption algorithm based on a chaotic system was proposed. First, a new 1D eλ-cos-cot (1D-ECC) with better chaotic performance than the traditional chaotic system is proposed. Second, the chaotic system is used to generate a plaintext-relate keystream based on the label information of a medical image DICOM (Digital Imaging and Co… Show more

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Cited by 6 publications
(3 citation statements)
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“…12. The encrypted data is considered random data due to the entropy value for encrypted data being very close to eight [30]. So, the proposed technique can withstand entropy attacks, and the possibility of occurrence of this type of attack is negligible.…”
Section: Information Entropy Analysismentioning
confidence: 99%
“…12. The encrypted data is considered random data due to the entropy value for encrypted data being very close to eight [30]. So, the proposed technique can withstand entropy attacks, and the possibility of occurrence of this type of attack is negligible.…”
Section: Information Entropy Analysismentioning
confidence: 99%
“…In recent years, cos, sin and other trigonometric maps have been widely used in image encryption algorithms due to their easy implementation [33,34]. However, the existing map methods have disadvantages such as blank windows and uneven distribution of chaotic sequences, which lead to security problems in image encryption schemes.…”
Section: Designed 2d-slc Hyperchaotic Mapmentioning
confidence: 99%
“…Especially in medical images, where this image has more homogeneous characteristics and a higher correlation [3]. The chaotic method is one of the solutions that is widely used in image encryption, and this is because of its characteristics which have a strong random level, unpredictable, integration complexity, ergodicity, and sensitivity to initial values [2,3,[6][7][8].…”
Section: Introductionmentioning
confidence: 99%