Generalized double-humped logistic map-based medical image encryption

Ismail, Sikiru Oluwarotimi; Said, Lobna A.; Radwan, Ahmed G.; Madian, Ahmed H.; Abu-Elyazeed, Mohamed F.

doi:10.1016/j.jare.2018.01.009

Cited by 102 publications

(55 citation statements)

References 33 publications

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“…Histogram deviation [13] measures the deviation between histograms of original and encrypted images to ensure the quality of encryption algorithm. It is used as a common measure to analyze the quality of encryption methods in terms of how it maximizes the deviation between original and the cipher image [13]. Histogram deviation can be measured using Eq.…”

Section: Histogram Deviationmentioning

confidence: 99%

“…Irregular deviation [13] measures how much deviation occurred in the image is irregular, because of encryption. Equations 4 and 5 show the calculation of irregular deviation.…”

Section: Irregular Deviationmentioning

confidence: 99%

“…Deviation from ideality explains how the encryption algorithm minimizes the deviation of the encrypted image from an assumed ideally encrypted image [13]. An ideally encrypted image CI must have a completely uniform histogram distribution, which means that the probability of existence of any gray level is constant [13] A low value for deviation from ideality ensures the performance of the encryption method. For a pixel in ideal encrypted image of M × N pixels, elsewhere where D represents the deviation in histogram of encrypted image C from the histogram of ideal encrypted image C1.…”

Section: Deviation From Idealitymentioning

confidence: 99%

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A novel encryption method for medical images using 2D Zaslavski map and DNA cryptography

2019

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Medical imaging describes the noninvasive methods that enable medical practitioners to look inside the body, which are critical in modern clinical diagnosis. The diagnosed medical images may have confidential information related to patient's privacy. Privacy and security must be guaranteed for the digital images over Internet, to ensure its confidentiality. In this work, a novel encryption method is suggested for medical images. The work is intended to suggest a novel encryption scheme for medical images which is strong, secure and efficient. Also, it can be applied to any kind of the medical images, irrespective of its storage format. In the proposed method, the pixels of the image are shuffled using a pseudorandom number generator based on two-dimensional Zaslavski map. The permuted image is encrypted by DNA encryption. Various visual analysis, correlation analysis, quality and security analysis techniques are applied to verify the performance of the method.

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Section: Histogram Deviationmentioning

confidence: 99%

“…Irregular deviation [13] measures how much deviation occurred in the image is irregular, because of encryption. Equations 4 and 5 show the calculation of irregular deviation.…”

Section: Irregular Deviationmentioning

confidence: 99%

Section: Deviation From Idealitymentioning

confidence: 99%

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A novel encryption method for medical images using 2D Zaslavski map and DNA cryptography

2019

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“…Ismail et al presented the double-humped (DH) logistic map to produce pseudorandom numbers keys (PRNG) in their paper. The generalized parameter that is added to the map provides more control on the map chaotic range [ 9 ]. Jeong et al proposed a new medical image encrypting method using a 2D chaotic map and C-MLCA in their article.…”

Section: Introductionmentioning

confidence: 99%

“…The results that were obtained in [ 8 ] are only suitable for the NPCR, and other values are not suitable. 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.…”

Section: Introductionmentioning

confidence: 99%

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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Multilevel security for medical image using heterogeneous chaotic map and deoxyribonucleic acid sequence operations

Akkasaligar

Biradar

2022

Concurrency and Computation

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Summary In telemedicine and e‐health system, the medical images are transmitted through telecommunication. In telecommunication, medical images are transmitted through open source networks. The hackers can tamper or add noise to medical images. Diagnosing the correct disease from the altered medical images is highly impossible. Hence indulge with security, confidentiality and integrity for medical images. In this work, heterogeneous hyper chaotic maps, deoxyribonucleic acid (DNA) cryptography and SHA‐512 is proposed in a new multilevel cryptosystem. The multilevel permutation is performed using heterogeneous chaotic map and zigzag transform. The multilevel diffusion is performed using DNA multiplication and DNA ADD operation. To verify the integrity the SHA‐512 is employed. All DNA coding, and DNA decoding rules are employed dynamically to generate the encrypted medical image. The introduced multilevel cryptosystem provide better security analysis for medical image transmission. The proposed method is implemented in MATLAB software. The performance of proposed approach is associated with existing approaches in terms of evaluating parameters like NPCR (number of pixel changing rate), UACI (unified average changed intensity), correlation coefficient and time taken in seconds. Hence it proves the performance and efficiency of the proposed method are high as compared to the existing methods. The proposed approach also improves the security level and offers integrity and confidentiality, and provide better medical image for encryption with less time complexity.

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Generalized double-humped logistic map-based medical image encryption

Abstract: Graphical abstract

Cited by 102 publications

References 33 publications

A novel encryption method for medical images using 2D Zaslavski map and DNA cryptography

A novel encryption method for medical images using 2D Zaslavski map and DNA cryptography

A New Algorithm for Medical Color Images Encryption Using Chaotic Systems

Multilevel security for medical image using heterogeneous chaotic map and deoxyribonucleic acid sequence operations

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