Usability Enhanced Thumbnail-Preserving Encryption Based on Data Hiding for JPEG Images

Ye, Xi; Zhang, Yushu; Xiao, Xiangli; Yi, Shibai; Lan, Rushi

doi:10.1109/lsp.2023.3290836

Cited by 14 publications

(2 citation statements)

References 26 publications

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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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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

“…Among these resources, digital images offer a more engaging and direct form of communication than text, owing to their vividness and intuitiveness. Consequently, ensuring the secure transmission of images has become a critical issue in this domain, drawing considerable attention and research efforts from many scholars [1][2][3][4][5]. Image encryption serves as a vital technique for protecting private information, and involves transforming pixels with unique characteristics into random ones to hide significant data within an image.…”

Section: Introductionmentioning

confidence: 99%

Partial-privacy Image Encryption Algorithm Based on Time-varying Delayed Exponentially Controlled Chaotic System

Wang,

Zhang,

Liu

2024

Preprint

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To enhance privacy protection for specific regions within an image while preserving its overall visual integrity, this paper presents a visual encryption algorithm targeting partial privacy-sensitive areas. Initially, a novel time-varying delayed exponentially controlled chaotic system (1-TDEC) is proposed. It utilizes the current precision value to modify the system input in a real-time manner, effectively counteracting the dynamic degradation, and making it more suitable for image encryption algorithms designs. Subsequently, the Mask-RCNN instance segmentation model is incorporated to capture the pixel coordinates of different contents in the image, allowing for access to specific area information as required. Furthermore, this encryption algorithm employs a comprehensive permutation process along with parallel bit-shift coupling, effectively transforming the image target areas into visually meaningless forms. It also employs bit-plane theory, providing encryptors the flexibility to set different decryption access levels by manipulating the key stream length from the chaotic system, thus enabling user-specific decryption control. Finally, the comprehensive performance analysis results highlight that the designed algorithm achieves a maximum information entropy value of 7.9998 in encrypted images. Moreover, its resistance to differential attacks (as measured by NPCR and UACI) and pixel correlation are infinitely close to the ideal state, significantly underscoring its security and effectiveness.

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A Reversible Data Hiding in Encryption Domain for JPEG Image Based on Controllable Ciphertext Range of Paillier Homomorphic Encryption Algorithm

Ma,

Zhao,

et al. 2024

Lecture Notes in Computer Science

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Usability Enhanced Thumbnail-Preserving Encryption Based on Data Hiding for JPEG Images

Cited by 14 publications

References 26 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

Partial-privacy Image Encryption Algorithm Based on Time-varying Delayed Exponentially Controlled Chaotic System

A Reversible Data Hiding in Encryption Domain for JPEG Image Based on Controllable Ciphertext Range of Paillier Homomorphic Encryption Algorithm

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