2D fully chaotic map for image encryption constructed through a quadruple-objective optimization via artificial bee colony algorithm

Toktaş, Abdurrahim; Erkan, Uğur

doi:10.1007/s00521-021-06552-z

Cited by 29 publications

(10 citation statements)

References 70 publications

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“…According to Table 9, both values of these four images are close to the ideal values, which indicates that the encryption technique is highly sensitive to plain-text images. Meanwhile, it can be seen that the UACI and NPCR values of Baboon image obtained by the method proposed in this paper are approximately similar to the values of [23,27,39,43,44]. These results manifest that the encryption algorithm is comparable to other algorithms in terms of sensitivity to plain-text images.…”

Section: Resistance To Differential Attack Analysissupporting

confidence: 65%

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A Novel Chaos-Based Image Encryption Using Magic Square Scrambling and Octree Diffusing

Wang

Liu

2022

Mathematics

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Digital chaotic maps have been widely used in the fields of cryptography owing to their dynamic characteristics, however, some unfavorable security properties arise when they operate on devices with limited precision. Thus, enhancing the properties of chaotic maps are beneficial to the improvement of chaos-based encryption algorithms. In this paper, a scheme to integrate a one-dimensional Logistic map by perturbation parameters with a delayed coupling method and feedback control is proposed and further deepens the randomness by selectively shifting the position of the chaotic sequence. Then, through a number of simulation experiments, the results demonstrate that the two-dimensional chaotic map treated by this mode exhibits better chaotic characteristics, including a larger chaos range and higher complexity. In addition, a new image encryption algorithm is designed based on these modified chaotic sequences, in which magic square theorem is incorporated to exchange pixel positions, and the octree principle is invoked to achieve pixel bit shifting. Several simulation experiments present findings that the image encryption algorithm contains a high level of security, and can compete with other encryption algorithms.

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Section: Resistance To Differential Attack Analysissupporting

confidence: 65%

“…Meanwhile, S-Box is used in image encryption technology to improve security and efficiency. Toktas, A. et al [23] introduced a 2D chaotic map of multi-objective optimization strategy based on an artificial bee colony algorithm, which is used in image encryption programs.…”

Section: Improved Two-dimensional Chaotic Maps Applied To Image Encryption Algorithmmentioning

confidence: 99%

A Novel Chaos-Based Image Encryption Using Magic Square Scrambling and Octree Diffusing

Wang

Liu

2022

Mathematics

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“…Table 4 lists the x 2 values of the original image and the encrypted image and compares them with the x 2 values of the encrypted image using the methods proposed in the paper [3,19,29]. Compared with the compared papers, the proposed method reduces the x 2 value significantly and improves uniformity of pixel distribution.…”

Section: Testmentioning

confidence: 99%

“…lists the 𝑥 values of the original image and the encrypted compares them with the 𝑥 values of the encrypted image using the method in the paper [3,19,29]. Compared with the compared papers, the proposed m duces the 𝑥 value significantly and improves uniformity of pixel distribu this method, the x value is significantly reduced, and the pixel distribution is form compared to the listed papers.…”

Section: Information Entropymentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on Multiple Random DNA Coding and Annealing

Zhang

Zhu²,

Ma³

et al. 2023

Electronics

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Improved encryption devices place higher demands on the randomness and security of encrypted images. Existing image encryption optimization methods based on single- or multi-objectives concentrate on selecting keys and parameters, resulting in relatively fixed parameters and keys that are susceptible to leakage and cracking. Despite the possibility of increasing security, the DNA coding encryption method does not fully take into account the large capacity of image data and the difference between pixels, resulting in a limited level of randomness. To overcome the problems above, this paper proposes a method for generating complex texture features in images using random variation of pixels. With an annealing algorithm that can find an optimal solution in a large search space, the image is optimally optimized in terms of information entropy, pixel correlation, and value of x2. Each iteration involves selecting one of 25632 combinations of DNA coding and operation. In comparison with current encryption algorithms based on optimization algorithms and DNA coding, this method is more secure and unbreakable.

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“…Hence, numerous image encryption algorithms have been proposed [9][10][11][12]. Due to the ergodicity and unpredictability of chaotic systems, chaos-based image encryption algorithms have been increasingly used [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Designing a 1D extended logistic map for a secure image encryption

Ren

Wang

2023

Phys. Scr.

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The performance of the keystream is an important index for determining the security of a cryptosystem. However, the parameter range of the classical one-dimensional chaotic map is limited, and the distribution of the generated chaotic sequence is aggregated. Using the keystream generated by such chaotic systems can lead to a small secret key space and low security of the cryptosystem. To address this, this paper proposes a 1D Extended Logistic Map (1D-ELM), which combines the Sin and Logistic maps. The 1D-ELM has the same control parameters as the Logistic map, but the parameter range in which 1D-ELM exhibits chaotic behavior is larger than that of the Logistic map. The performance of 1D-ELM is evaluated using the Lyapunov exponent, bifurcation diagram, and 0-1 test. Additionally, 1D-ELM is applied in image encryption. In the secret key generation stage, the designed cryptosystem employs a combination of public and private keys, ensuring the algorithm's security. An attacker needs to find two secret keys to crack the algorithm. Furthermore, in the diffusion stage, most ciphertext values are related to the three adjacent ciphertext values, reducing the correlation of adjacent ciphertext pixels. The experiment verifies that 1D-ELM has good application in image encryption and plays an important role. The designed cryptographic system has high security.

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2D fully chaotic map for image encryption constructed through a quadruple-objective optimization via artificial bee colony algorithm

Cited by 29 publications

References 70 publications

A Novel Chaos-Based Image Encryption Using Magic Square Scrambling and Octree Diffusing

A Novel Chaos-Based Image Encryption Using Magic Square Scrambling and Octree Diffusing

A Novel Image Encryption Algorithm Based on Multiple Random DNA Coding and Annealing

Designing a 1D extended logistic map for a secure image encryption

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