Multiple grayscale image encryption using cross-coupled chaotic maps

Patro, K. Abhimanyu Kumar; Soni, Ayushi; Netam, Pradeep Kumar; Acharya, Bibhudendra

doi:10.1016/j.jisa.2020.102470

Cited by 77 publications

(60 citation statements)

References 30 publications

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“…Then calculate the correlation coefficient between adjacent pixels by using Eq. (24). The results are shown in Tab.4.…”

Section: E Correlation Analysismentioning

confidence: 96%

“…Multi-plain image encryption is a research hotspot in the field of image encryption, and many scholars have also proposed lots of related encryption algorithms [24][25][26][27][28][29]. For example, Patro et al [24] proposed that using the cross-coupled chaotic system to scramble and diffuse multiple plain images in pixel-level. In addition, Zhang et at.…”

Section: Introductionmentioning

confidence: 99%

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A Dynamic Triple-Image Encryption Scheme Based on Chaos, S-Box and Image Compressing

et al. 2020

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To guarantee the security and high-efficiency of image transmission, a novel triple-image encryption scheme based on chaotic system, S-box and image compressing is proposed in this paper. Firstly, the combination process is performed by compressing three plain images to 25% and combining the compressed images with a stochastic matrix generated by the 2D-LSCM system to construct a new image. This process makes the proposed image encryption scheme have higher image transmission efficiency comparing to that of the stateof-the-art methods. Then, Z-scan and the proposed coded lock scrambling algorithm with low time complexity is used to randomly scramble the positions of pixels in the new construct image. Next, a cipher image is obtained by performing the diffusion operation on the scrambled image through S-box and chaotic sequences. In addition, the added stochastic matrix in the combination process makes the cipher image dynamic. In other words, the generated cipher images are always different to each other even when they are generated by the proposed encrypt scheme with identical plain images under the same secret keys, which can resist chosen-plaintext attacks. Finally, experimental results and simulation analysis are performed, which shows the proposed scheme can effectively resist common kinds of attacks.

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“…Then calculate the correlation coefficient between adjacent pixels by using Eq. (24). The results are shown in Tab.4.…”

Section: E Correlation Analysismentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

A Dynamic Triple-Image Encryption Scheme Based on Chaos, S-Box and Image Compressing

et al. 2020

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“…Chi-square test analysis is performed to measure the quantitatively of uniformity the gray value of pixel. Smaller the value of Chi square indicates the higher uniformity of grayscale [54], [55]. Chi-square test can be calculated as follows:…”

Section: ) Chi-square Test Analysismentioning

confidence: 99%

New DNA Coded Fuzzy Based (DNAFZ) S-Boxes: Application to Robust Image Encryption Using Hyper Chaotic Maps

2021

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This article proposes a novel approach of improvising the cryptographic features of substitution-boxes (S-Box) based on the Choquet Fuzzy Integral (CFI) and DNA techniques. First, we propose a strong structure for the construction of four S-Boxes using CFI. The key for generating the CFI based (FZ) S-Boxes consists of two parts, namely, an external secret key and a secret image. Each of these FZ S-boxes is then encoded using DNA techniques, with dynamic rules selection which is dictated by a secret control code. The resultant four S-boxes are designated as DNAFZ S-Boxes. To apply for image encryption, the plain image is, at first 8-bit binary-coded, shuffled by an M-sequence, and down-sampled into four sub-images. Subsequently, the pixel values of each sub-image are replaced with the corresponding values of one of the four DNAFZ S-Boxes. Next, each DNAFZ encoded sub-image is diffused with a different DNA encoded chaotic sequence from Chen's hyper-chaotic map. Finally, the four DNAFZ/Chaotic encoded sub-images are combined to build the final encrypted image. The proposed DNAFZ S-boxes shows excellent statistical properties under majority logic criterions such as correlation, homogeneity, energy, entropy, and contrast. Moreover, numerical simulation is used to examine the efficacy of encrypted images against different attacks. In particular, the values of the pixel correlation coefficient are found to be quite small either horizontally, vertically, or diagonally (between 7.8597e-04 and 0.00527, between 8.7856e-04 and 0.00452, and between 0.00241 and 0.00021, respectively). In addition, the information entropy of the encrypted image is found to be within the range of (7.9965:7.9989) which is very near to the ideal value of 8. As for the UACI and the NPCR, they are in the ranges between 33.46 and 33.32 and between 99.58 and 99.62, respectively. These values are also very close to the optimum ones. The results are compared to those of other encryption algorithms and proved that the proposed encryption method delivers better results than other conventional ones including LSS chaotic map, Arnold transforms, Dynamic Henon map, Hybrid chaotic map optimized substitution, and cubic S-Box.

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“…Therefore, we can assert that the reported encryption algorithm is superior than the others. 10 210 Ref [18] 7.37 × 10 134 Ref [27] 3.403 × 10 128 Ref [28] 3.402 × 10 128 Ref [29] 3.402 × 10 128 Ref [30] 4 As far as the evaluation of the key sensitivity of the second case is concerned, K 0 and K 1 have been used to retrieve the original images from the encrypted images in Figures 7(b) and 7(c), respectively. The retrieved images so obtained have been depicted in the Figures 7(e) to 7(h).…”

Section: B Key Sensitivity Analysismentioning

confidence: 99%

A Novel and Efficient Multiple RGB Images Cipher Based on Chaotic System and Circular Shift Operations

et al. 2020

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In real time scenarios, the single image encryption schemes are not that efficient when a bunch of color images is to be encrypted. This problem should be addressed due to computational cost incurred by multiple executions of single color-image encryption scheme. The objective of this research work is to provide a new and efficient multiple color images cipher scheme. This cipher is based on chaotic system, circular shift operations and SHA-384 hash codes. First of all, an arbitrary number of RGB images are input. They are combined in a rectangular fashion to get their hash code. Then this big color-image is decomposed into its three basic components, i.e., red, green and blue. To scramble the pixels of these components, they are shifted circularly both the row-wise and column-wise. Further, XOR operation has been performed to realize the effects of diffusion in these components. Lastly, these components are joined together to get the final RGB cipher image. Apart from the 384-hash codes, a salt key of 384-bit has also been used in the proposed cipher to heighten the security effects. The SHA-384 hash codes render the required key space and plaintext sensitivity. The simulation results and the performance analyses carried out at the end clearly prove the efficiency, effectiveness, robustness and the real-world applicability of the proposed multiple RGB images cipher. Besides, the encryption throughput 7.716 Mb/s of the proposed scheme outperforms many of the existing ones.

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Multiple grayscale image encryption using cross-coupled chaotic maps

Cited by 77 publications

References 30 publications

A Dynamic Triple-Image Encryption Scheme Based on Chaos, S-Box and Image Compressing

A Dynamic Triple-Image Encryption Scheme Based on Chaos, S-Box and Image Compressing

New DNA Coded Fuzzy Based (DNAFZ) S-Boxes: Application to Robust Image Encryption Using Hyper Chaotic Maps

A Novel and Efficient Multiple RGB Images Cipher Based on Chaotic System and Circular Shift Operations

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