Secure image storage system based on compressed sensing and 2D-SLLIM in cloud environment

Su, Yining; Wang, Xingyuan; Unar, Salahuddin; Zhao, Xiulan; Liu, Pengbo

doi:10.1007/s11071-022-07930-5

Cited by 13 publications

(6 citation statements)

References 47 publications

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“…Table 2 shows the obtained chi-square values of test images. It can be easily seen that none of the values cross the limitation value mentioned in the literature [39]. This implies that the histogram's distribution is uniform, and Therefore, it is impossible for the attacker to derive any useful conclusions from the histogram of encrypted images.…”

Section: Visual and Histogram Analysismentioning

confidence: 93%

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Image encryption scheme using a new 4-D chaotic system with a cosinoidal nonlinear term in WMSNs

Fan,

Verma,

Long

et al. 2024

Phys. Scr.

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To protect the sensitive data captured in the wireless media sensor networks (WMSNs), this paper propounds a novel data encryption scheme by employing a new chaotic system and the semi-tensor product compressive sensing model driven by a linear congruence generator. In this scheme, the coefficients yielded by sparsely decomposing the plaintext image onto a wavelet packet basis are firstly compressed using a key-controlled measurement matrix. To minimize the threat of various attacks, the compressed image is then subjected to bidirectional diffusion manipulation to conceal its statistical properties under the control of chaotic sequences. Additionally, it is worth explaining that a lightweight 4-D chaotic system with only one nonlinear term is designed to accommodate the resource-constrained situation in WMSNs. Finally, theoretical analysis and investigations affirm its significant enhancement in visual security, compressibility, and encryption efficiency. Moreover, the proposed scheme is significantly superior to existing relevant encryption ones.

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Section: Visual and Histogram Analysismentioning

confidence: 93%

“…where N = 256, the number of gray levels; x(i) and y(e) are obtained probability and mathematical probability of the content showing. When the significance values of chi-square test is less than [39], it depicts that the Chi-square (χ 2 ) test is passed. Table 2 shows the obtained chi-square values of test images.…”

Section: Visual and Histogram Analysismentioning

confidence: 99%

Image encryption scheme using a new 4-D chaotic system with a cosinoidal nonlinear term in WMSNs

Fan,

Verma,

Long

et al. 2024

Phys. Scr.

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show abstract

“…where h(x s ) is the probability that s occurs within the image p, N then denotes the gray level of the image p. For this test, multiple kinds of images are selected to calculate their Inf values, and the results are presented in Table 5. The table shows that after the encryption algorithm, all the [29] 0.0095 0.0044 0.0076 Yadollahi [30] 0.0208 0.0137 0.0146 Zhou [31] -0.0057 -0.0121 0.0029 Lai [32] 0.0015 0.0048 0.0016 Bazerra [33] -0.0018 0.0025 -0.0015 Zheng [34] -0.0027 0.0023 0.0088 Hussain [35] 0.0002 -0.0014 -0.0018 Su [36] 0.0019 0.0021 0.0029 Wang [37] 0.0005 0.0051 -0.0034 Pak [38] 0.0005 0.0024 -0.0017 Zhang [39] 0.0190 -0.0302 -0.0648 Wang [40] 0.0138 0.0113 0.0053 Luo [41] -0.0019 0.0021 -0.0046 Zhang [42] -0.0351 0.0238 -0.0057 entropy values are greater than 7.99, infinitely close to 8. In addition, we compared the information entropy values of of Baboon image from other schemes, displayed in Table 6.…”

Section: Information Entropy Analysismentioning

confidence: 99%

“…It can be seen that the entropy value of our algorithm is closer to the optimal entropy value, indicating that the encryption algorithm in this paper has some advantages over the entropy attack method. [29] 7.9971 Yadollahi [30] 7.9973 Zhou [31] 7.9971 Lai [32] 7.9970 Bazerra [33] 7.9971 Zheng [34] 7.9974 Hussain [35] 7.9973 Su [36] 7.9960 Wang [37] 7.9975 Pak [38] 7.9970 Zhang [39] 7.9974 Wang [40] 7.9971 Luo [41] 7.9974 Zhang [42] 7.9972…”

Section: Information Entropy Analysismentioning

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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“…Diffusion is to adjust the pixel value of the image, cover the statistical properties of plain-image into the cipher-image, and implement the even distribution of pixels. A wealth of image encryption algorithms (IEAs) has recently been designed based on numerous technologies, such as substitution box [8][9][10][11], Josephus traversal [12,13], hash functions [14][15][16][17][18], DNA sequence operation [19][20][21], fractal theory [22], compression sensing [23,24], deep learning [25,26] and chaos theory [27][28][29][30][31][32]. Among those different tools, the IEA using chaos theory has been proved their enormous achievement due to the suitable properties of chaotic system (CS) for cryptography, such as the pseudo-randomness of dynamic systems, the non-periodicity of motion trajectories and the sensitivity to initial conditions.…”

Section: Introductionmentioning

confidence: 99%

A new 2D-HLSM-CECP hyperchaotic map and its application on image encryption using fractal-based permutation and cross coupled diffusion

Zhang,

Wang

et al. 2024

Preprint

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To enhance the security of the image encryption algorithm (IEA) based on chaotic system, this paper firstly introduced a new hyperchaotic map called two-dimensional hyperchaotic Logistic-Sine map coupled exponential control parameter (2D-HLSM-CECP) coupled with the two-dimensional Logistic map and the Sine map, which displays better hyperchaotic behavior and randomness than some existing chaotic systems. Then, this work further represents a novel IEA based on 2D-HLSM-CECP, fractal sorting matrix and cross coupled diffusion. The new 2D-HLSM-CECP is used to generate two chaotic sequences, which played a significant role in the whole encryption and decryption part. All pixels of the plain-image are confused and diffused based on fractal sorting matrix and global cross coupled operation respectively. Theoretical analysis and simulation results demonstrate that the 2D-HLSM-CECP-IEA has splendid achievement in well-known security indicators. Thus, the 2D-HLSM-CECP-IEA is highly secure as a conclusion.

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Secure image storage system based on compressed sensing and 2D-SLLIM in cloud environment

Cited by 13 publications

References 47 publications

Image encryption scheme using a new 4-D chaotic system with a cosinoidal nonlinear term in WMSNs

Image encryption scheme using a new 4-D chaotic system with a cosinoidal nonlinear term in WMSNs

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

A new 2D-HLSM-CECP hyperchaotic map and its application on image encryption using fractal-based permutation and cross coupled diffusion

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