Hyperchaotic memristive ring neural network and application in medical image encryption

Lin, Hairong; Wang, Chunhua; Cui, Li; Sun, Yichuang; Zhang, Xin; Yao, Wei

doi:10.1007/s11071-022-07630-0

Cited by 110 publications

(32 citation statements)

References 58 publications

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“…We can see in Table 10 that the key space of our cryptosystem is larger than those of refs. [44,45,50,52,53]. It should be noted that compared to ref.…”

Section: Comparison With Other Cryptosystemsmentioning

confidence: 95%

“…(i) Chaotic brain-like dynamics of the coupled neural network which shows that the designed cryptosystem has several advantages in the key space, information entropy, and key sensitivity [44]. (ii) Hyperchaotic memristive ring neural network and application in medical image encryption [45] which shows a medical image encryption scheme constructed based on the MRNN from a perspective of practical engineering application. Performance evaluations demonstrate that the proposed medical image cryptosystem has several advantages in terms of key space, information entropy, and key sensitivity, compared with cryptosystems based on other chaotic systems.…”

Section: Introductionmentioning

confidence: 99%

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Biomedical Image Encryption with a Novel Memristive Chua Oscillator Embedded in a Microcontroller

et al. 2023

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In this paper, a chaos-based encryption/decryption scheme using a novel memristive Chua oscillator to protect medical images is presented. The novel Chua oscillator is constructed by using the active voltage memristor in the nonlinear branch of the Chua oscillator. The chaotic dynamics behaviors are investigated using 1-D, 2-D bifurcation diagrams, time traces, basin of attractions, and largest Lyapunov exponent plot. The study reveals that the novel memristive Chua oscillator exhibits versatile transitions to chaos with interesting dynamics like multistability, spiking, and bursting oscillations just to name a few. These remarkable features are experimentally confirmed by a laboratory microcontroller-based setup. Thereafter, a chaos-based cryptography algorithm designed for biomedical images is built using pseudorandom number generated from the oscillator. The robustness and security tests undergone by the algorithm yielded high sensitivity on the encryption keys and resisted noise contamination as well as data loss. These results are encouraging and prove that the chaos-based cryptosystem built with the memristive Chua circuit-generated pseudorandom number is suitable for securing images in a healthcare system.

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“…We can see in Table 10 that the key space of our cryptosystem is larger than those of refs. [44,45,50,52,53]. It should be noted that compared to ref.…”

Section: Comparison With Other Cryptosystemsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Biomedical Image Encryption with a Novel Memristive Chua Oscillator Embedded in a Microcontroller

et al. 2023

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“…Neural networks have been favored by academia and industry because of the diversity of their dynamics. A chaotic image encryption algorithm improved by a neural network had strong practicability in the medical field [ 28 , 29 ]. No matter how complex the encryption algorithm is, its purpose is to combine the chaotic system to conduct a series of permutations and diffusions of image pixels to ensure the security of image transmission.…”

Section: Introductionmentioning

confidence: 99%

Cryptanalysis of an Image Encryption Algorithm Based on Two-Dimensional Hyperchaotic Map

Jiang

Wang

2023

Entropy

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This paper analyzes the security of an image encryption algorithm based on a two-dimensional hyperchaotic map. This encryption algorithm generated chaotic sequences through a combination of two one-dimensional chaotic maps and used them as the permutation and diffusion key. Then, the image was encrypted by using the structure of row–column permutation, forward-diffusion, and backward-diffusion. The proposer claimed that the above algorithm was secure. However, it was found through cryptanalysis that the algorithm cannot withstand the chosen plaintext attack. Although the forward-diffusion and backward-diffusion of the original algorithm use two different diffusion keys and there is a ciphertext feedback mechanism, the analysis of the diffusion by iterative optimization showed that it can be equivalent to global diffusion. In addition, the generation of chaotic sequences in the encryption process is independent of the plaintext image, so the equivalent diffusion and permutation key stream can be obtained by adjusting the individual pixel values of the chosen plaintexts. Aiming at the security loopholes in the encryption algorithm, the theoretical and experimental results are presented to support the efficiency of the proposed attack and suggestions for improvement are given. Finally, compared with the performance analysis of the existing cracking algorithm, our cryptanalysis greatly improved the cracking efficiency without increasing the complexity of the data.

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“…In order to make the chaotic image encryption scheme dynamic and flexible, some encryption links with parallel structures are considered in permutation and diffusion [ 29 , 30 , 31 , 32 ]. In 2018, Yin proposed a chaotic image encryption scheme based on a breadth-first search and dynamic diffusion [ 33 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Chaotic Image Encryption Scheme Armed with Global Dynamic Selection

Chen

Wang

Liu

et al. 2023

Entropy

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Due to the equivalent keys revealed by a chosen-plaintext attack or a chosen-ciphertext attack, most of the existing chaotic image encryption schemes are demonstrated to be insecure. In order to improve security performance, some scholars have recently proposed the plaintext-related chaotic image encryption scheme. Although the equivalent effect of a one-time pad is achieved, an additional secure channel is required to transmit the hash values or other parameters related to the plaintext before the ciphertext can be decrypted at the receiving end. Its main drawback is that an absolutely secure channel is needed to transmit the information related to the plaintext, which is not feasible in practical applications. To further solve this problem, this paper proposes a chaotic image encryption scheme based on global dynamic selection of a multi-parallel structure. First, a chaotic sequence is employed to dynamically select DNA encoding rules. Secondly, the permutation with a multi-parallel structure is performed on the DNA-encoded matrix, and the DNA decoding rules are dynamically selected according to another chaotic sequence. Finally, the diffusion rules obtained by the ciphertext feedback mechanism are introduced to determine the dynamic diffusion. Compared with the existing local dynamic encryption schemes, the main advantage of this scheme is that it can realize global dynamic selection, so as to ensure that there is no equivalent key, and it can resist the chosen-ciphertext attack or chosen-plaintext attack and does not need an additional secure channel to transmit parameters related to plaintext, which is practical. A theoretical analysis and numerical experiments demonstrate the feasibility of the method.

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Hyperchaotic memristive ring neural network and application in medical image encryption

Cited by 110 publications

References 58 publications

Biomedical Image Encryption with a Novel Memristive Chua Oscillator Embedded in a Microcontroller

Biomedical Image Encryption with a Novel Memristive Chua Oscillator Embedded in a Microcontroller

Cryptanalysis of an Image Encryption Algorithm Based on Two-Dimensional Hyperchaotic Map

A Novel Chaotic Image Encryption Scheme Armed with Global Dynamic Selection

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