Medical image encryption using high-speed scrambling and pixel adaptive diffusion

Hua, Zhongyun; Yi, Shuang; Zhou, Yicong

doi:10.1016/j.sigpro.2017.10.004

Cited by 290 publications

(171 citation statements)

References 42 publications

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“…. , 3, 2, 1) using Equation (23). (3): Compute the Shannon entropy by sample mean over all k image pixel blocks N 1 , N 2 , N 3 , .…”

Section: Local and Shannon Information Entropymentioning

confidence: 99%

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Fast and Efficient Image Encryption Algorithm Based on Modular Addition and SPD

Butt

Khan

et al. 2020

Entropy

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Bit-level and pixel-level methods are two classifications for image encryption, which describe the smallest processing elements manipulated in diffusion and permutation respectively. Most pixel-level permutation methods merely alter the positions of pixels, resulting in similar histograms for the original and permuted images. Bit-level permutation methods, however, have the ability to change the histogram of the image, but are usually not preferred due to their time-consuming nature, which is owed to bit-level computation, unlike that of other permutation techniques. In this paper, we introduce a new image encryption algorithm which uses binary bit-plane scrambling and an SPD diffusion technique for the bit-planes of a plain image, based on a card game trick. Integer values of the hexadecimal key SHA-512 are also used, along with the adaptive block-based modular addition of pixels to encrypt the images. To prove the first-rate encryption performance of our proposed algorithm, security analyses are provided in this paper. Simulations and other results confirmed the robustness of the proposed image encryption algorithm against many well-known attacks; in particular, brute-force attacks, known/chosen plain text attacks, occlusion attacks, differential attacks, and gray value difference attacks, among others.

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“…. , 3, 2, 1) using Equation (23). (3): Compute the Shannon entropy by sample mean over all k image pixel blocks N 1 , N 2 , N 3 , .…”

Section: Local and Shannon Information Entropymentioning

confidence: 99%

“…This particular method generally eliminated the drawback of periodicity of the Arnold cat map. Another method, proposed by Hua et al [23] known as the high-speed image scrambling method, changes the positions of rows and columns of pixels at the same time, thereby efficiently reducing strongly correlated neighboring pixels.…”

mentioning

confidence: 99%

Fast and Efficient Image Encryption Algorithm Based on Modular Addition and SPD

Butt

Khan

et al. 2020

Entropy

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“…The same strategy is used in [44], where a spatiotemporal chaotic system is coupled with Tent-Sine system to generate PRNS. In [45], an encryption scheme of protecting medical images with two rounds of position permutation and diffusion, where Logistic-Sine system is used as PRNG.…”

Section: Randomness-oriented Chaos Enhancementmentioning

confidence: 99%

When an attacker meets a cipher-image in 2018: A year in review

Zhang

Xie

2019

Journal of Information Security and Applications

148

121

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This paper aims to review the encountered technical contradictions when an attacker meets the cipher-images encrypted by the image encryption schemes (algorithms) proposed in 2018 from the viewpoint of an image cryptanalyst. The most representative works among them are selected and classified according to their essential structures. Almost all image cryptanalysis works published in 2018 are surveyed due to their small number. The challenging problems on design and analysis of image encryption schemes are summarized to receive the attentions of both designers and attackers (cryptanalysts) of image encryption schemes, which may promote solving scenario-oriented image security problems with new technologies.

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“…Some studies have proposed different image permutation strategies [6][7][8][9][10][11][12]. Some researchers have proposed novel image diffusion techniques [10,[13][14][15][16][17]. Many researchers have attempted to improve the performance of image encryption systems through other improvements.…”

Section: Introductionmentioning

confidence: 99%

Improved Cryptanalysis and Enhancements of an Image Encryption Scheme Using Combined 1D Chaotic Maps

Zhu

Wang

Sun

2018

Entropy

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This paper presents an improved cryptanalysis of a chaos-based image encryption scheme, which integrated permutation, diffusion, and linear transformation process. It was found that the equivalent key streams and all the unknown parameters of the cryptosystem can be recovered by our chosen-plaintext attack algorithm. Both a theoretical analysis and an experimental validation are given in detail. Based on the analysis of the defects in the original cryptosystem, an improved color image encryption scheme was further developed. By using an image content–related approach in generating diffusion arrays and the process of interweaving diffusion and confusion, the security of the cryptosystem was enhanced. The experimental results and security analysis demonstrate the security superiority of the improved cryptosystem.

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Medical image encryption using high-speed scrambling and pixel adaptive diffusion

Cited by 290 publications

References 42 publications

Fast and Efficient Image Encryption Algorithm Based on Modular Addition and SPD

Fast and Efficient Image Encryption Algorithm Based on Modular Addition and SPD

When an attacker meets a cipher-image in 2018: A year in review

Improved Cryptanalysis and Enhancements of an Image Encryption Scheme Using Combined 1D Chaotic Maps

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