Robust Key Update With Controllable Accuracy Using Support Vector Machine for Secure OFDMA-PON

Luo, Yufeng; Zhang, Chongfu; Wang, Xue; Liang, Xinshuai; Qiu, Kun

doi:10.1109/jlt.2023.3244202

Cited by 14 publications

(2 citation statements)

References 31 publications

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“…Taking a global perspective, numerous scholars have achieved a series of significant theoretical and practical advancements in the use of chaos for image encryption 36 – 39 . Simultaneously, the field of compressive sensing theory has garnered favour among many cryptography experts due to its groundbreaking performance in signal sampling 40 – 42 .…”

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

View full text Add to dashboard Cite

show abstract

“…The exploration of reliable and efficient security algorithms is gaining significance in the big data environment. 1 , 2 , 3 In the era of big data, the secure transmission of digital images has emerged as a pivotal concern, garnering substantial academic attention. Ensuring that these images remain confidential during transmission, safeguarding against theft or leakage has become a prominent research focus.…”

Section: Introductionmentioning

confidence: 99%

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

Wen,

Lin,

Kang

et al. 2024

iScience

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Cryptanalysis of an image encryption algorithm using quantum chaotic map and DNA coding

Wen,

Lin

2024

Expert Systems with Applications

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Robust Key Update With Controllable Accuracy Using Support Vector Machine for Secure OFDMA-PON

Cited by 14 publications

References 31 publications

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

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

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

Cryptanalysis of an image encryption algorithm using quantum chaotic map and DNA coding

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