Image encryption based on Henon chaotic system with nonlinear term

Luo, Haibo; Ge, Baozhen

doi:10.1007/s11042-019-08072-4

Cited by 36 publications

(16 citation statements)

References 32 publications

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“…Their method included modules that could be interactive: chaotic confusion and pixel diffusion. Similar to [28], an encryption scheme by Lou et al [30] utilized the DNA method for diffusion of the image pixels and permuted using a 2D-HSM.…”

Section: Related Workmentioning

confidence: 99%

A Robust Chaos-Based Technique for Medical Image Encryption

et al. 2022

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Transmission and storage of medical data using cloud-based Internet-of-health-systems (IoHS) necessitate important prerequisites, such as secrecy, legitimacy, and integrity. This paper recommends a novel hybrid encryption/decryption scheme that can be applied in e-healthcare, or IoHS, for the protection of medical images. The proposed system explores innovative perturbation algorithms that utilize novel chaotic maps. The new maps parameters and chaotic sequences are used to control the permutation and diffusion properties of the scheme. The derived properties control pixel shuffling and operations of substitution. Chaotic behaviors of the proposed system are analyzed using bifurcation diagram, Lyapunov exponents, and NIST and DIEHARD tests. Moreover, evaluation using various test images indicated that the proposed maps have high efficiency and showed high robustness and protection of medical images. Experiments and security review also documented the good ability of the developed cryptosystem to withstand a variety of cyber-attacks. Furthermore, quantitative results using benchmark color and greyscale images prove the high security levels, sensitivity, and low residual intelligibility with high quality recovered data of our technique than several typical and state-of-the-art encryption schemes. This has been documented using statistical and security analysis metrics, such as number of pixels change rate (NPCR, 99.814%), unified average changing intensity (UACI, 33.694%), peak signal-to-noise-ratio (PSNR, 7.723), and entropy (7.9991).

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Section: Related Workmentioning

confidence: 99%

A Robust Chaos-Based Technique for Medical Image Encryption

et al. 2022

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“…A new image encryption using DNA approach and 2D Hénon-Sine map is given in [16]. The authors in [17] presented an image encryption via Henon chaotic map with nonlinear term. An algorithm via diffusion of Household and Tent-Dynamics coupled map lattices is given in [18].…”

Section: Introductionmentioning

confidence: 99%

New Encryption Algorithm Using Bit-Level Permutation and Non-Invertible Chaotic Map

Karawia

Elmasry

2021

IEEE Access

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The authors extend their appreciation to Deanship of scientific research at king khalid university for funding this work through general research project under grant number GRP/189/42.ABSTRACT Recently, a little research into image encryption has been used on chaotic economic maps. The current paper suggests a bit-level permutation and a non-invertible chaotic economic map to encrypt an image. Firstly, the secret key generation is linked to the plain image. So, the suggested algorithm may resist both known-plaintext and chosen-plaintext attacks. Then a bit-level permutation is performed for all the binary bits of the plain image's pixels, using the logistic map (permutation stage). It is used to improve the algorithm's security. Then pixel diffusion is applied using the 2D non-invertible chaotic economic map and bit-wise XOR operations. It is used to change the pixels' values and make them highly random. The results of the experiments and the security analyses show that the given image encryption algorithm is efficient with higher security. Some comparisons showed that the proposed algorithm outperformed many recent algorithms. Finally, the proposed algorithm may be able to withstand a variety of attacks.

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“…Logical, Tent, and Henon maps), and chaotic systems (e.g. Lorenz, Chen, and, Chua systems) have been applied in the design of image cipher system [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

An image cipher system based on networked chaotic map with parameter q

Sun

Zhang

et al. 2021

IET Image Processing

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This paper models a networked coupling chaotic system with a fractional‐like local map based on network topology and fractional theory. The proposed model contains more system parameters and a more relaxed coupling relationship. The entropy analysis also shows that the proposed model is more sensitive to the changes in the coupling parameter. Based on this model, an effective image cipher system is designed using universal scrambling and diffusion based on DNA encoding. The proposed method utilizes the generated pseudo‐random signals from the networked chaotic map. The secret keys can be generated in parallel and the security is also improved due to the rise of complexity of the new chaotic map. Analysis and simulations confirm that the new chaotic map as well as the DNA encoding technology improves the effectiveness and robustness of the proposed encryption algorithm.

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Image encryption based on Henon chaotic system with nonlinear term

Cited by 36 publications

References 32 publications

A Robust Chaos-Based Technique for Medical Image Encryption

A Robust Chaos-Based Technique for Medical Image Encryption

New Encryption Algorithm Using Bit-Level Permutation and Non-Invertible Chaotic Map

An image cipher system based on networked chaotic map with parameter q

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