A Security-Enhanced Image Communication Scheme Using Cellular Neural Network

Wen, Heping; Xu, Jiajun; Liao, Yunlong; Chen, Ruiting; Shen, Danze; Wen, Lifei; Shi, Yulin; Lin, Qin; Liang, Zhonghao; Zhang, Sihang; Liu, Yuxuan; Huo, Ailin; Li, Tong; Cai, Chang; Wen, Jiaqian; Zhang, Chongfu

doi:10.3390/e23081000

Cited by 11 publications

(4 citation statements)

References 56 publications

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“…Therefore, information security is facing severe challenges in network communication, which urges us to study more secure digital image encryption schemes [13], [16], [17], [18], [19]. Various mechanisms and methods have been introduced to enhance the security of the algorithm [20], [21], [22], [23].…”

Section: Introductionmentioning

confidence: 99%

Secure Optical Image Communication Using Double Random Transformation and Memristive Chaos

Wen

et al. 2023

IEEE Photonics J.

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The issue of information security in photonics environment has attracted more and more attention, especially when the secure communication of optical digital images has become a research hotspot. In this paper, we propose a hybrid encryption scheme for color images in the frequency and spatial domains based on double random transform and memristor hyperchaotic system. Firstly, we decompose the color image into RGB channels and then perform fast fourier transform (FFT) to transform the digital image from the spatial domain to the frequency domain. Secondly, two-phase masks are generated using the memristor hyperchaotic system, and the Fresnel diffraction optical transformation method is performed twice for encryption. Thirdly, the transformation from the frequency domain to the spatial domain is completed using inverse fast fourier transform (IFFT). Finally, the image is permuted and diffused using the chaotic sequences to obtain the final cipher image. Double random phase encryption expands the key space, while the combination of spatial and frequency domains improves the resistance to attacks. Based on cryptanalysis theory, we introduce a dynamic key associated with plain image, which can effectively resist plain attack. The experimental results show that the optical digital image encryption scheme has a large key space, excellent comprehensive performance, and can resist common attacks. In addition, we verify the hardware feasibility and ease of implementation of the proposed algorithm in an embedded optical communication network experimental platform. Therefore, our proposed scheme in this paper is a preferred optical digital image secure communication technology scheme with good application prospects.

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Section: Introductionmentioning

confidence: 99%

Secure Optical Image Communication Using Double Random Transformation and Memristive Chaos

Wen

et al. 2023

IEEE Photonics J.

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“…Therefore, it is necessary to study image encryption and transmission technologies based on optical networks. This can show that image encryption and transmission technology based on all-optical networks in the context of the big data era have certain theoretical value and practical significance [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Design and Embedded Implementation of Secure Image Encryption Scheme Using DWT and 2D-LASM

Wen

Chen

Zheng

et al. 2022

Entropy

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In order to further improve the information effectiveness of digital image transmission, an image-encryption algorithm based on 2D-Logistic-adjusted-Sine map (2D-LASM) and Discrete Wavelet Transform (DWT) is proposed. First, a dynamic key with plaintext correlation is generated using Message-Digest Algorithm 5 (MD5), and 2D-LASM chaos is generated based on the key to obtain a chaotic pseudo-random sequence. Secondly, we perform DWT on the plaintext image to map the image from the time domain to the frequency domain and decompose the low-frequency (LF) coefficient and high-frequency (HF) coefficient. Then, the chaotic sequence is used to encrypt the LF coefficient with the structure of “confusion-permutation”. We perform the permutation operation on HF coefficient, and we reconstruct the image of the processed LF coefficient and HF coefficient to obtain the frequency-domain ciphertext image. Finally, the ciphertext is dynamically diffused using the chaotic sequence to obtain the final ciphertext. Theoretical analysis and simulation experiments show that the algorithm has a large key space and can effectively resist various attacks. Compared with the spatial-domain algorithms, this algorithm has great advantages in terms of computational complexity, security performance, and encryption efficiency. At the same time, it provides better concealment of the encrypted image while ensuring the encryption efficiency compared to existing frequency-domain methods. The successful implementation on the embedded device in the optical network environment verifies the experimental feasibility of this algorithm in the new network application.

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“…This is the problem considered in Ref. [ 2 ]. In their article, the authors propose a security-enhanced image communication scheme, requiring cellular neural network (CNN) and cryptanalysis.…”

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confidence: 99%

“…By means of a plain image, the cipher image is obtained in the CNN-based sequence. In [ 2 ], cryptanalysis demonstrates the safety of the performance.…”

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confidence: 99%