Asynchronous Updating Boolean Network Encryption Algorithm

Gao, Suo; Wu, Rui; Wang, Xingyuan; Liu, Jiafeng; Li, Qi; Wang, Chunpeng; Tang, Xianglong

doi:10.1109/tcsvt.2023.3237136

Cited by 40 publications

(14 citation statements)

References 51 publications

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“…Traditional encryption algorithms used for remote sensing images suffer from weak security, susceptibility to attack, and low encryption efficiency. Many image encryption algorithms have been proposed to address these challenges, which can be based on such things as chaotic functions [2,3], DNA coding [4][5][6], meta-cellular automata [7,8], meta-heuristic techniques [9][10][11], S-boxes [12,13], asynchronous updating Boolean networks [14], and Fourier and wavelet transforms [15,16]. Zou et al [17] introduced ICCTML, an enhanced dynamic model that combines Tent chaotic systems and cross-coupled mappings, offering greater convenience, a wider chaotic range, and higher information entropy.…”

Section: Introductionmentioning

confidence: 99%

A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms

Li,

Xu,

Gao

2024

Phys. Scr.

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Remote sensing images have been widely used in the military and other areas because of their rich perceptional data. This makes their visual security critical in practical usage. To address this challenge, an enhanced image encryption scheme is proposed. In the scrambling phase, n bands of remote sensing images undergo Arnold double bit-level per-mutation. This reduces not only the pixel correlation in each image plane, but also between each frequency band. To enhance security, an RNA crossover rule (RNACMO) is introduced. The RNA image is divided into RNA single strands of different lengths using chaotic sequences, and different crossover methods, including single-point and uniform, are adaptively selected according to the number of RNA single strands. RNACMO significantly improves the security level of the scheme. An improved immune algorithm (IIA) is exploited to optimize chaotic function sequences, which improves the chaotic property of the scheme. In experiments, the proposed algorithm achieves average values of 99.6094% for NPCR, 33.4635% for UACI, and 26.7712% for BACI in encrypted remote sensing images, indicating stronger security and better resilience against attacks compared with other encryption algorithms for remote sensing images.

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Section: Introductionmentioning

confidence: 99%

A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms

Li,

Xu,

Gao

2024

Phys. Scr.

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“…Today, there are numerous methods for image protection [4][5][6], with image encryption being the most commonly used means to ensure confidentiality and integrity of digital images during transmission and storage. However, as computational capabilities continue to advance, traditional image encryption techniques are becoming more susceptible to attacks [7][8][9]. Therefore, there is an urgent need for new and more secure image encryption algorithms to ensure the security of digital image transmission [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Local bit-level image encryption algorithm based on one dimensional zero excluded chaotic map

Feng,

Han,

Yan

et al. 2024

Phys. Scr.

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The exchange of digital images on the internet has become more convenient, but it has also led to increasing security concerns. Image encryption differs from text encryption, as inherent features such as massive data volume and high pixel correlation make it challenging to apply traditional AES and DES methods to images. This paper introduces a novel local bit-level image encryption algorithm based on chaos. Firstly, a new one-dimensional chaos system named the One-Dimensional Zero Excluded Chaotic Map (1D-ZECM) is designed, possessing features such as approximate global chaos, a broad chaos range, and high Lyapunov exponents, making it well-suited for cryptography. To resist brute force attacks, a hash function is employed to generate the encryption system’s key, further enhanced by using the 1D-ZECM to derive the key stream for the cryptographic system. Unlike traditional encryption methods that encrypt all 8 bits of a pixel, this algorithm focuses on the first six bits of each pixel during the encryption process, as the lower two bits contain less image information. In the diffusion process, the key stream generated by the 1D-ZECM is combined with mod and XOR operations to diffuse the rearranged image. Experimental results demonstrate that the proposed encryption algorithm exhibits high security and can resist common attacks. Moreover, when compared to representative algorithms, the proposed algorithm demonstrates better security and efficiency. The encryption algorithm presented in this paper provides a high-quality encrypted output.

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“…Benefiting from the randomness caused by the complex dynamic behaviors of the chaotic system, various chaosbased encryption schemes are proposed [23][24][25][26]. Especially, the chaos-based image encryption schemes are studied deeply.…”

Section: Introductionmentioning

confidence: 99%

A novel lorenz-sine coupling chaotic system and its application on color image encryption

et al. 2023

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The chaos-based image encryption has been extensively studied for image security owing to its high efficiency. However, both the complexity of the chaotic system and the chaos-based image encryption method must be enhanced. A Lorenz-Sine coupling chaotic system with complex behavior and a novel image encryption scheme is presented in this work. By adding a nonlinear controller containing sinusoidal function to the Lorenz system, we obtain smooth chaotic attractors with a unique appearance. Analysis of the dynamical properties shows that it has a multi-symmetry stranger attractor and a large chaotic range. Based on the proposed chaotic system, a pseudorandom sequence generator is designed to generate keys with high randomness. Furthermore, an image encryption scheme using spiral-rotation and random permutation is presented. Cipher-feedback is employed to increase the avalanche effect. The encryption efficiency and the security analysis are simulated. The result shows that the correlation coefficient between the adjacent pixels of the proposed scheme achieves 10^(-4). The NPCR of the proposed scheme is larger than 0.9661 and the UACI falls within the theoretical value of UACI with a significance level of 0.05. Thus, the proposed scheme is more capable against differential attacks. Furthermore, it is more robust against noise attacks and cropping attacks.

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Asynchronous Updating Boolean Network Encryption Algorithm

Cited by 40 publications

References 51 publications

A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms

A robust multi-chaotic remote sensing image encryption scheme based on RNA and immune algorithms

Local bit-level image encryption algorithm based on one dimensional zero excluded chaotic map

A novel lorenz-sine coupling chaotic system and its application on color image encryption

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