Asymmetric Multiple-Image Encryption Based on Octonion Fresnel Transform and Sine Logistic Modulation Map

Li, Jianzhong

doi:10.3807/josk.2016.20.3.341

Cited by 6 publications

(4 citation statements)

References 30 publications

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“…It is mainly introduced in the image by the error elements from the analogue-to-digital converter or through bit changes that occurred during transmission. Salt & pepper noise affects the image in such a way that bright regions will be affected by dark pixels, and dark regions will be affected with bright pixels [45]. A well-designed encryption algorithm must resist to this noise.…”

Section: H Noise Intrusion Analysismentioning

confidence: 99%

A New Chaotic Map With Dynamic Analysis and Encryption Application in Internet of Health Things

Sankar²,

et al. 2020

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In this paper, we report an effective cryptosystem aimed at securing the transmission of medical images in an Internet of Healthcare Things (IoHT) environment. This contribution investigates the dynamics of a 2-D trigonometric map designed using some well-known maps: Logistic-sine-cosine maps. Stability analysis reveals that the map has an infinite number of solutions. Lyapunov exponent, bifurcation diagram, and phase portrait are used to demonstrate the complex dynamic of the map. The sequences of the map are utilized to construct a robust cryptosystem. First, three sets of key streams are generated from the newly designed trigonometric map and are used jointly with the image components (R, G, B) for hamming distance calculation. The output distance-vector, corresponding to each component, is then Bit-XORed with each of the key streams. The output is saved for further processing. The decomposed components are again Bit-XORed with key streams to produce an output, which is then fed into the conditional shift algorithm. The Mandelbrot Set is used as the input to the conditional shift algorithm so that the algorithm efficiently applies confusion operation (complete shuffling of pixels). The resultant shuffled vectors are then Bit-XORed (Diffusion) with the saved outputs from the early stage, and eventually, the image vectors are combined to produce the encrypted image. Performance analyses of the proposed cryptosystem indicate high security and can be effectively incorporated in an IoHT framework for secure medical image transmission.

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Section: H Noise Intrusion Analysismentioning

confidence: 99%

A New Chaotic Map With Dynamic Analysis and Encryption Application in Internet of Health Things

Sankar²,

et al. 2020

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“…In addition, the complexity of the chaotic maps is evaluated by permutation complexity (PE) [43]. The PEs of the 2D-SLIM map are compared with different chaotic maps used in some related studies [32][33][34][35] in figure 2. The PEs of this map are apparently higher than those of the other maps.…”

Section: Related Workmentioning

confidence: 99%

“…HD chaotic maps and hyperchaotic maps have more parameters and variables than 1D chaotic maps. Hence, some researchers proposed the asymmetric encryption algorithms based on the HD chaotic maps [32][33][34][35][36][37][38]. For instance, Liu et al [32] proposed an asymmetric color image encryption algorithm using the Henon map and SHA-256.…”

Section: Introductionmentioning

confidence: 99%

“…Sui et al [33,34] designed two asymmetric image encryption algorithms by applying the two-dimensional Logistic map (2D-Logistic). Li et al [35] presented an asymmetric multipleimage encryption scheme by applying a new multiple-image information processing tool called octonion Fresnel transform and the two-dimensional Sine Logistic modulation map (2D-SLMM).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A visually secure asymmetric image encryption scheme based on RSA algorithm and hyperchaotic map

Sun

Zhu

2020

Phys. Scr.

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This paper proposes a visually secure asymmetric image encryption scheme based on Rivest–Shamir–Adlemen (RSA) algorithm and hyperchaotic map. It combines the advantages of the RSA and chaos-based image encryption algorithms. First, to fully encrypt the image information, the plain image is encrypted into a cipher image by applying the row and column encryption algorithms. Second, the image secret key is converted into a ciphertext by utilizing the RSA algorithm to increase the security, and then the ciphertext is transformed into an image and permuted using the Arnold map to enhance the robustness of the embedded image. We then obtain the key cipher image. Finally, the cipher image and the key cipher image are embedded into a carrier image (CI) to obtain a visually secure image. It simultaneously achieves the image information security and image visually security. To further improve the security, the RSA keys management technique is applied and the initial conditions of the hyperchaotic map are updated in real time based on the plain image. In addition, the encryption scheme is suitable for multi-user image transmission with high security requirements and image transmission without the secure channel for key transmission. The simulation results and performance analysis validate the effectiveness, security and robustness of the proposed scheme.

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The Octonion Extreme Learning Machine

Zhang

Zhu

Wang

et al. 2020

Proceedings in Adaptation, Learning and Optimization

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Asymmetric Multiple-Image Encryption Based on Octonion Fresnel Transform and Sine Logistic Modulation Map

Cited by 6 publications

References 30 publications

A New Chaotic Map With Dynamic Analysis and Encryption Application in Internet of Health Things

A New Chaotic Map With Dynamic Analysis and Encryption Application in Internet of Health Things

A visually secure asymmetric image encryption scheme based on RSA algorithm and hyperchaotic map

The Octonion Extreme Learning Machine

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