Medical image encryption using a hybrid model of modified genetic algorithm and coupled map lattices

Nematzadeh, Hossein; Enayatifar, Rasul; Motameni, Homayun; Guimarães, Frederico Gadelha; Coelho, Vitor Nazário

doi:10.1016/j.optlaseng.2018.05.009

Cited by 132 publications

(48 citation statements)

References 20 publications

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“…These two encrypted images have been evaluated to detect any possible connection between the plain image and the cipher image. The (UACI) and the (NPCR) are two indicator that are regularly used by researchers to test the differential attack resistor of any image encryption method [ 12 ].…”

Section: Experiments Results and Security Analysismentioning

confidence: 99%

“…In this section, we will compare the results that were obtained from the proposed algorithm with previous algorithms. The results that were obtained from the designed method are measured with the methods in References [ 10 , 24 ] with respect to their correlation, entropy, NPCR, and UACI, and the key space was compared with references [ 9 , 12 , 24 ]. The results of the comparison are shown in Table 9 , Table 10 , Table 11 , Table 12 , Table 13 and Table 14 .…”

Section: Comparisonmentioning

confidence: 99%

“…First, the assumed way employs a paired map lattice to produce a some of secure cipher-images as a primitive population of the IGA. Then, it exerts the IGA to both increase the entropy of the cipher images and reduce the algorithm’s calculations time [ 12 ]. In their paper, Singh et al proposed a medical image encryption scheme algorithm using the improved ElGamal encryption technique.…”

Section: Introductionmentioning

confidence: 99%

“…In the method in [ 9 ], the values that are obtained are appropriate, but they are only suitable for grayscale images. The results of the methods in [ 10 , 11 , 12 ] are only suitable with respect to their correlation coefficients, but there are no improvements with respect other criteria. The results that are obtained in [ 13 , 14 ] are only suitable with respect to entropy.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A New Algorithm for Medical Color Images Encryption Using Chaotic Systems

Moafimadani

Chen

Tang

2019

Entropy

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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.

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Section: Experiments Results and Security Analysismentioning

confidence: 99%

Section: Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A New Algorithm for Medical Color Images Encryption Using Chaotic Systems

Moafimadani

Chen

Tang

2019

Entropy

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show abstract

“…Further, a modified genetic algorithm was employed to enhance the cipher image properties by considering entropy and correlation as fitness functions [28]. Cao et al suggested an image encryption technique in which the bi‐level confusion and diffusion has been carried out.…”

Section: Introductionmentioning

confidence: 99%