Secure DNA-Coding Image Optical Communication Using Non-Degenerate Hyperchaos and Dynamic Secret-Key

Wen, Heping; Liu, Zhen; Lai, Haowen; Zhang, Chongfu; Liu, Linhao; Yang, Jieyi; Lin, Yiting; Li, Yunqi; Liao, Yunlong; Ma, Linchao; Chen, Zefeng; Li, Rui

doi:10.3390/math10173180

Cited by 21 publications

(14 citation statements)

References 47 publications

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“…The 0–1 Gottwald–Melbourne test can determine the regular motion and chaotic motion by calculating the parameter k asymptotically close to 0 or 1. As shown in Figure 2 , the k value of the average result of 10,000 times is 0.9975, which is close to the theoretical value [ 37 ]. This can verify the excellent performance of the chaotic system.…”

Section: Related Theorysupporting

confidence: 76%

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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Section: Related Theorysupporting

confidence: 76%

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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“…Consequently, the utilization of image encryption techniques can effectively prevent the leakage of critical data during transmission 10 – 12 . Several encryption methods have been proposed to address this challenge, including thumbnail-preserving encryption 13 – 15 , biometric encoding 16 – 18 , Frequency domain encryption 19 , 20 , bit-plane encryption 21 – 23 , Fourier transformation 24 – 26 , and chaos theory 27 – 29 , among others 30 , 31 . In particular, chaotic algorithms have gained widespread acceptance in image encryption due to their unpredictability, pseudo-randomness, and high sensitivity to initial values 32 – 35 .…”

Section: Introductionmentioning

confidence: 99%

Exploiting high-quality reconstruction image encryption strategy by optimized orthogonal compressive sensing

Wen,

Yang,

Bai

et al. 2024

Sci Rep

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Compressive sensing is favored because it breaks through the constraints of Nyquist sampling law in signal reconstruction. However, the security defects of joint compression encryption and the problem of low quality of reconstructed image restoration need to be solved urgently. In view of this, this paper proposes a compressive sensing image encryption scheme based on optimized orthogonal measurement matrix. Utilizing a combination of DWT and OMP, along with chaos, the proposed scheme achieves high-security image encryption and superior quality in decryption reconstruction. Firstly, the orthogonal optimization method is used to improve the chaotic measurement matrix. Combined with Part Hadamard matrix, the measurement matrix with strong orthogonal characteristics is constructed by Kronecker product. Secondly, the original image is sparsely represented by DWT. Meanwhile, Arnold scrambling is used to disturb the correlation between its adjacent pixels. Following this, the image is compressed and measured in accordance with the principles of compressive sensing and obtain the intermediate image to be encrypted. Finally, the chaotic sequence generated based on 2D-LSCM is used to perform on odd-even interleaved diffusion and row-column permutation at bit-level to obtain the final ciphertext. The experimental results show that this scheme meets the cryptographic requirements of obfuscation, diffusion and avalanche effects, and also has a large key space, which is sufficient to resist brute-force cracking attacks. Based on the sparse and reconstruction algorithm of compressive sensing proposed in this paper, it has better image restoration quality than similar algorithms. Consequently, the compressive sensing image encryption scheme enhances both security and reconstruction quality, presenting promising applications in the evolving landscape of privacy protection for network big data.

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“…Special Publication 800-22 Test Kit (NIST Randomness Test) provided by the National Institute of Standards and Technology 47 . The NIST test program is a statistical package that includes 16 test methods.…”

Section: Experimental Verification and Discussionmentioning

confidence: 99%

High-quality restoration image encryption using DCT frequency-domain compression coding and chaos

Wen

Liu

et al. 2022

Sci Rep

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With the arrival of the age of big data, the amount and types of data in the process of information transmission have increased significantly, and the full-disk encryption mode used by traditional encryption algorithms has certain limitations of the times. In order to further improve the bandwidth efficiency of digital images in the transmission process and the information effectiveness of digital image transmission, this paper proposes an algorithm of high-quality restoration image encryption using DCT frequency-domain compression coding and chaos. Firstly, the image hash value is used for the generation of an encryption key with plaintext correlation, then lightweight chaos is generated based on the key to obtain a pseudo-random sequence. Secondly, the image is partitioned into subblock, and converted from time domain into frequency domain by employing Discrete Cosine Transform (DCT) on each block, then perform quantization operation based on frequency domain information to obtain DCT coefficient matrix. Thirdly, the direct current (DC) coefficients and alternating current (AC) coefficients are extracted in the DCT coefficient matrix and compressed by different encoding methods to obtain two sets of bitstream containing DC coefficient and AC coefficient information. Fourthly, permute the DC coefficient bit stream by the chaotic sequence, and reconstruct it with the AC coefficient bit stream to obtain the frequency domain ciphertext image. Finally, the chaotic sequence is used to diffuse ciphertext, and the processed hash value is hidden in the ciphertext to obtain the final ciphertext. The theoretical and experimental analysis showed that the key length reaches 341 bits, and the PSNR value of the restored image is close to 60, all of which satisfy the theoretical value. Therefore, the algorithm has the characteristics of high compression rate, high-quality image restoration large key space, strong plaintext sensitivity, strong key sensitivity and so on. Our method proposed in this paper is expected to provide a new idea for confidential and secure communication in the age of big data.

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Secure DNA-Coding Image Optical Communication Using Non-Degenerate Hyperchaos and Dynamic Secret-Key

Cited by 21 publications

References 47 publications

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

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

Exploiting high-quality reconstruction image encryption strategy by optimized orthogonal compressive sensing

High-quality restoration image encryption using DCT frequency-domain compression coding and chaos

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