A New Algorithm for Medical Color Images Encryption Using Chaotic Systems

In this paper, we present a new algorithm based on chaotic systems to protect medical images against attacks. The proposed algorithm has two main parts: A high-speed permutation process and adaptive diffusion. After the implementation of the algorithm in the MATLAB software, it is observed that the...

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Bibliographic Details
Published in:Entropy (Basel, Switzerland) Switzerland), 2019-06, Vol.21 (6), p.577
Main Authors: Moafimadani, Seyed Shahabeddin, Chen, Yucheng, Tang, Chunming
Format: Article
Language:English
Subjects:
Algorithms
Chaos theory
chaotic system
Chi-square test
Color imagery
Confidentiality
Correlation coefficients
Data encryption
Diffusion rate
Dynamical systems
Encryption
Entropy
Genetic algorithms
Histograms
image encryption
medical color images
Medical imaging
Methods
Occlusion
Permutations
RGB
Sensitivity analysis
Statistical tests
Wavelet transforms
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Summary:In this paper, we present a new algorithm based on chaotic systems to protect medical images against attacks. The proposed algorithm has two main parts: A high-speed permutation process and adaptive diffusion. After the implementation of the algorithm in the MATLAB software, it is observed that the algorithm is effective and appropriate. Also, to quantitatively evaluate the uniformity of the histogram, the chi-square test is done. Key sensitivity analysis demonstrates that images cannot be decrypted whenever a small change happens in the key, which indicates that the algorithm is suitable. Clearly, part of special images is selected to test the selected plain-text, like an all-white image and an all-black image. Entropy results obtained from the implementation of the algorithm on this type of images show that the proposed method is suitable for this particular type of images. In addition, the obtained results from noise and occlusion attacks analysis show that the proposed algorithm can withstand against these types of attacks. Moreover, it can be seen that the images after encryption and decryption are of good quality; the measures such as the correlation coefficients, the entropy, the number of pixel change rate (NPCR), and the uniform average change intensity (UACI) have suitable values; and the method is better than previous methods.
ISSN:1099-4300
1099-4300
DOI:10.3390/e21060577