Secure image encryption algorithm using chaos-based block permutation and weighted bit planes chain diffusion

Wen, Heping; Lin, Yiting; Kang, Shenghao; Zhang, Xiangyu; Zou, Kun

doi:10.1016/j.isci.2023.108610

Cited by 18 publications

(2 citation statements)

References 76 publications

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“…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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Section: Introductionmentioning

confidence: 99%

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

Wen,

Yang,

Bai

et al. 2024

Sci Rep

Self Cite

View full text Add to dashboard Cite

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“…With the rapid development of communication technology and network technology, various forms of data and information can be more frequently and widely disseminated through the network, which brings convenience to people's lives while posing new challenges to information security [1][2][3]. As one of the most intuitive and common data types in information dissemination, images contain a large amount of private information [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Frequency-domain image encryption based on IWT and 3D S-box

Wen,

Feng,

Bai

et al. 2024

Phys. Scr.

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Most of the existing spatial domain image encryption techniques suffer from the difficulty of resisting cryptographic attacks. For this reason, this paper proposes a frequency-domain based digital image encryption scheme by combining Integer Wavelet Transform (IWT), three-dimensional S-box and chaotic system. Firstly, the plaintext image is decomposed into different frequency subbands by IWT to map the digital image from spatial domain to frequency domain. Second, the plaintext hash value is selected as the dynamic key, and dynamic chaotic pseudo-random sequences with associations are generated, which are used for the encryption of each module respectively. Then, a three-dimensional S-box is designed to encrypt the information-rich low-frequency information using ``bit-permutation three-dimensional S-box substitution ciphertext interleaved diffusion'', while the high-frequency information is encrypted using a lightweight ``XOR-row column permutation'' operation. Finally, the secure ciphertext for public channel transmission is obtained by the reconstruction method. the scheme of this paper, the frequency domain transformation is implemented through IWT, which enhances the ability to resist attacks. In addition, each encryption module employs a closed-loop feedback mechanism, thus the algorithm has the ability to resist plaintext attacks. Theoretical analysis and empirical results show that the algorithm has excellent numerical statistical analysis results, These findings confirm that the proposed method exhibits good confusion, diffusion, and avalanche effects and can withstand a variety of popular cryptographic attacks. Given that frequency domain picture encryption is a preferred high-security technique for safeguarding the privacy of digital photographs, it is a workable solution for practical applications.

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